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Paper Citation Record · LEDGER

InternLM2 Technical Report

As of 6 August 2026, this Paper Citation Record lists 100 of 172 outbound references and 73 inbound Pith citation observations for arXiv:2403.17297.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2403.17297 v1

Coverage vector

measured 100 of 172 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T11:44:38.066501Z

measured 173 of 173 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 73 of 73 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:35:50.328264Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 172 outbound references displayed

  • verified exact13
  • verified fuzzy70
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch8

External citation measurements

27
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 97829fbf-0d9c-4a45-90ae-2959c57063d2 · outbound

This paper cites https://github.com/MicrosoftDocs/azure-docs/blob/main/articles/ai-services/openai/includes/chat-markup-language.md.

InternLM2 Technical Report https://github.com/MicrosoftDocs/azure-docs/blob/main/articles/ai-services/openai/includes/chat-markup-language.md

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.518469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:6b3d7236ad06634e0e11847c1a999a09f299da91b45b668b84b0faf789eab87f

Observation 0d40e19d-eaee-4b82-8617-672e614a3acc · outbound

This paper cites https://github.com/ggerganov/llama.cpp.

InternLM2 Technical Report https://github.com/ggerganov/llama.cpp

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.523075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:efb962100994409051125158a91704775234fb3220787ab7ab386a9ec4b0a556

Observation 3a7a1d33-16f6-4860-ac6b-21be572e04be · outbound

This paper cites GQA: training generalized multi-query transformer models from multi-head checkpoints.

InternLM2 Technical Report GQA: training generalized multi-query transformer models from multi-head checkpoints

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.525630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:a654897e6f33f6265837d55d6c52a1ca7f442b92e3fa7c2c7f2d2c21faab43c3

Observation f1385b0b-37fa-4da5-938d-67e80eb9a305 · outbound

This paper cites Cibench: Evaluating your llms with a code interpreter plugin.

InternLM2 Technical Report Cibench: Evaluating your llms with a code interpreter plugin

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.528118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:a7ae3ca83df7a44af07d27ee8bb02b9b74a69da618356de58858228532f2e2a8

Observation c1e069f6-b1dd-47a5-be17-ebb2c6a20374 · outbound

This paper cites Mathbench: Evaluating the theory and application proficiency of llms with a hierarchical mathematics benchmark.

InternLM2 Technical Report Mathbench: Evaluating the theory and application proficiency of llms with a hierarchical mathematics benchmark

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.530445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:32db8a2859d73c1cc84d169571b6ed5e1c3ec371c492984607e81687b5aef1e1

Observation 27c9b14c-a1f9-46ee-ab5c-1fae2d3b87de · outbound

This paper cites Training a helpful and harmless assistant with reinforcement learning from human feedback.

InternLM2 Technical Report Training a helpful and harmless assistant with reinforcement learning from human feedback

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.532671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:6e1e21cd2ffc55b9544dc928533ffd76aad376f5675e9c3267eebec71997ecbe

Observation a76d24c3-63a9-4937-a19a-5505007735b3 · outbound

This paper cites an unresolved cited work.

InternLM2 Technical Report Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:44:38.535107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:a8c7ea6fc28a7be1155e334df2f4a7e67af6d842e9063b35b2f7f5032a02f864

Observation a3620524-6879-4982-8fa1-d82a68fced52 · outbound

This paper cites Amsp: Reducing communication overhead of zero for efficient llm training, 2024 b.

InternLM2 Technical Report Amsp: Reducing communication overhead of zero for efficient llm training, 2024 b

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.538283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:71e1b7c68257208a5b00c64a17d6859020dfa21caa44cf5bf917dfe447c2ad27

Observation 1010bce7-7097-4f7b-b14f-8d3bdd5931c8 · outbound

This paper cites Theoremqa: A theorem-driven question answering dataset.

InternLM2 Technical Report Theoremqa: A theorem-driven question answering dataset

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.541115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:aeab3aef65a9b1bd8e147bd07b7b3a240a6d567cc3da6b9cf3762b9cb349319b

Observation aeac5f57-9240-47c0-89f8-385c726ab806 · outbound

This paper cites Agent-flan: Designing data and methods of effective agent tuning for large language models.

InternLM2 Technical Report Agent-flan: Designing data and methods of effective agent tuning for large language models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.543576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:a2b03d5380eb7301b68e23101b9b0275299ba0ebbc0d10464d84f6e4eac97dee

Observation 05002084-e366-46e4-9240-b02aa128718a · outbound

This paper cites an unresolved cited work.

InternLM2 Technical Report Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:44:38.545749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:9f52746948498b86120cdd42472d09443dd07717cdb565959018ee4484856fd1

Observation d2e62caa-edd3-41b4-8991-3fca0bcc224c · outbound

This paper cites Christiano, Jan Leike, Tom B.

InternLM2 Technical Report Christiano, Jan Leike, Tom B

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.547900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:4c260e6f7cb44569ba561a0efa01a4ef5975bcb949abd777c6f7253032caf0d2

Observation 3d851398-87a4-4874-b4fe-3efebd3387ba · outbound

This paper cites Lmdeploy: A toolkit for compressing, deploying, and serving llm.

InternLM2 Technical Report Lmdeploy: A toolkit for compressing, deploying, and serving llm

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.550310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:880078ae3c0cc29c2172738ad89ba38000a9ad5361e9b70ccc5ab212d71892e9

Observation c138217d-4db9-4e71-bfc5-2c0a2fb3e326 · outbound

This paper cites Opencompass: A universal evaluation platform for foundation models.

InternLM2 Technical Report Opencompass: A universal evaluation platform for foundation models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.552620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:739ae18f7843f8afb8f1cf8806cf60e24e7554396adb5944f072692cd9eb49b2

Observation 07157ee7-8757-4b35-9817-4388aaabdaaa · outbound

This paper cites Ultrafeedback: Boosting language models with high-quality feedback.

InternLM2 Technical Report Ultrafeedback: Boosting language models with high-quality feedback

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.555100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:4e067e2fc0b122e914a296cb6f819397a3686d6ba2aeebd3c19e8612bf4dcef8

Observation 5c4dca02-6312-4877-a683-f05fd0524c93 · outbound

This paper cites Safe rlhf: Safe reinforcement learning from human feedback.

InternLM2 Technical Report Safe rlhf: Safe reinforcement learning from human feedback

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.558031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ef23cb96cbdcb80efe4d6ca3ca0ef61c9f6e53643d23cdaa57b91c636ed61138

Observation 8e3db53b-ed09-40e1-899c-e36ac51aa0eb · outbound

This paper cites Understanding dataset difficulty with V -usable information.

InternLM2 Technical Report Understanding dataset difficulty with V -usable information

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.560462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:b836f71c81f692c43ef43c66243e4af100913ee5f1300fb71290f10ef9a261bd

Observation f3076b39-0fc9-4d54-9535-c2d485ead989 · outbound

This paper cites Scaling laws for reward model overoptimization.

InternLM2 Technical Report Scaling laws for reward model overoptimization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.563121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:e8920179a7e857860d4a174e1687dbe84dd02dfe50f22cfa7b9b86a9b83209e1

Observation 17017201-f584-43df-bddc-8cc96f117755 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

InternLM2 Technical Report OLMo: Accelerating the Science of Language Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:00:15.763598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:40ec6d41bfc7af30cd8acf6ee2bf5aff4b31a9ea859db1cad34a1da1837d5a3a

Observation cdb45960-754c-4b10-bd67-82787bed7197 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

InternLM2 Technical Report DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:44:38.352246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:3cf685e0fa11889dc2f146b3908a7e46d49736fc8785de720b870b9bff19a909

Observation 0b2858c4-2181-4a9b-84d0-b4bcc1315c2b · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

InternLM2 Technical Report Measuring mathematical problem solving with the MATH dataset

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.565493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:5cb183febb515780eca4bb447e53e981e12f71da302eaf19abd6c91d103897ab

Observation 17abd0e0-81e9-4694-83f1-2ce78713385e · outbound

This paper cites Characterization of large language model development in the datacenter.

InternLM2 Technical Report Characterization of large language model development in the datacenter

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.568098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:b8a355a7b5f6d6c0479786cb15b4c96044dc13c150d517e43d3b65bef4923364

Observation f9e16898-0fae-40f1-8840-9b80a70cb4b4 · outbound

This paper cites Gpipe: Efficient training of giant neural networks using pipeline parallelism.

InternLM2 Technical Report Gpipe: Efficient training of giant neural networks using pipeline parallelism

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.570644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:356affee5472e2868c9d6d702b61eda38098d404aa202154db26777aa06ffaea

Observation c2e07501-cc53-456e-8b76-533e950166d0 · outbound

This paper cites Reducing activation recomputation in large transformer models.

InternLM2 Technical Report Reducing activation recomputation in large transformer models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.573167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:549f6578ac1f33e0c3c7312ec38a803edbc7703d4f17dd37865cb114e5577db0

Observation ab31d341-eb76-44b3-9434-87e8eb561ad9 · outbound

This paper cites Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

InternLM2 Technical Report Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.575840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:a7823493e5886be331af5873befc9730593ac02cda4bb61b1c9b74f6761c91bb

Observation 6ba88bef-6148-42a0-af89-d62c765541a7 · outbound

This paper cites Fabbri, Caiming Xiong, Shafiq Joty, and Chien - Sheng Wu.

InternLM2 Technical Report Fabbri, Caiming Xiong, Shafiq Joty, and Chien - Sheng Wu

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.578471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:a5834c455c75db7683d8a6e43bb04783ceaf7cbc01c684f3321e04907cb23719

Observation eaa87136-0e5a-454e-a970-e0dd0e8c7d2e · outbound

This paper cites Ds-1000: A natural and reliable benchmark for data science code generation.

InternLM2 Technical Report Ds-1000: A natural and reliable benchmark for data science code generation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.581260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:8d279d5806c50ce1b1760bac1aedcbc63a3a3c8961f4336581da987fd1576f48

Observation 30c50e44-d0ea-4117-b719-bead0d949567 · outbound

This paper cites Cmmlu: Measuring massive multitask language understanding in chinese, 2023 a.

InternLM2 Technical Report Cmmlu: Measuring massive multitask language understanding in chinese, 2023 a

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.584007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:3c7efb7c68a5cf4ecc620a2a17c3043a179bf656ca321a93b827b6781c1adc63

Observation 41a1cf71-01bd-4921-b9ad-25163a7b74ff · outbound

This paper cites Hashimoto.

InternLM2 Technical Report Hashimoto

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.586494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:0007575b1fa6207133f3d82a42e0b7941dfc2960935df3498635ce37d95d07aa

Observation 46571e17-9067-47d9-a183-032ab438e1b3 · outbound

This paper cites Dynamically scaled rope further increases performance of long context llama with zero fine-tuning, July 2023.

InternLM2 Technical Report Dynamically scaled rope further increases performance of long context llama with zero fine-tuning, July 2023

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.589454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:fb0e792f1d4a35c0e0a3b77999275b661bfde40544bde435254a2e6a3ef7fa9a

Observation 4fd56c9f-b9ed-4eef-a137-7685bc016a1c · outbound

This paper cites Decoupled weight decay regularization.

InternLM2 Technical Report Decoupled weight decay regularization

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.592078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ff36368c0f69aa33fde55a2dd76e6dc83391b9e4245eac94426bb84b7f3fe365

Observation 304ac6a6-4767-44eb-97ff-2e24f8fa0592 · outbound

This paper cites Longwanjuan: Towards systematic measurement for long text quality.

InternLM2 Technical Report Longwanjuan: Towards systematic measurement for long text quality

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.595051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:eb2c3f70596df054ab7ef305625c486a53efcc73b1651daa375394862a6b6eb1

Observation 3112e327-ddb1-48c9-afdb-709154ea7308 · outbound

This paper cites Categorizing variants of goodhart’s law.

InternLM2 Technical Report Categorizing variants of goodhart’s law

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.598285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:c878b3ced4217b3b5ddaa80f3ccb7fa601856605a60bf15afb563ce705354cbb

Observation 461f1a9f-efff-47b1-8a74-86eefee0a793 · outbound

This paper cites Mixed precision training.

InternLM2 Technical Report Mixed precision training

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.600635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:93fe58c135fc4d198d5aa3bb3a925efa0be2a1d785f262aa4d5223a6eadd2883

Observation 70bb8042-9f35-4934-b53c-323fc8faaddd · outbound

This paper cites an unresolved cited work.

InternLM2 Technical Report Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:44:38.603271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:21d344a1b832fe4e39b4cd3c2e0de8590254f15b691dcfb223e47c44df7ccd05

Observation 24b2bc5b-79f1-4d07-b284-14f5fb4e2ac6 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

InternLM2 Technical Report Zero: Memory optimizations toward training trillion parameter models

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.605970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ad013f8cd08c1742aa363245e94c6b44d8a280e84a22aa4042b6ac7650aa73ce

Observation e0b32e98-4215-4257-9330-e8de9437e624 · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

InternLM2 Technical Report Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.609445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:d20e665ca14634bf73f5ae4ece86fd1ddc307b23927ffdfba60b435a962659e5

Observation 792957dc-e756-4ca0-bad0-21339c6cd949 · outbound

This paper cites How to Train Data-Efficient LLMs.

InternLM2 Technical Report How to Train Data-Efficient LLMs

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.337372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:f726030f3e2b2b4493f4551b06ba33daf4498cedd0e17b98819e6b0d76f5d0f5

Observation e84eec9b-d28f-4f91-b866-110a378794b8 · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano.

InternLM2 Technical Report Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.612162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:7055bf3254bfeeb9ab9e410503b5ae1cc24d5705d227c72935c34f662f0e93b7

Observation a5e818fc-d843-442c-a034-3a286b2f1204 · outbound

This paper cites Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension.

InternLM2 Technical Report Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.297497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:920943b7ad14a154e6bbe9351dcbb755c35d7155d222216c75449951720e7e1d

Observation 6f4ef07b-ece9-4b4e-8628-b06470677179 · outbound

This paper cites an unresolved cited work.

InternLM2 Technical Report Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:44:38.614136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:7a795afe24a05211492c9f7f0d4dcf2eed7df495f79ae9e52e16f4305f43dc5d

Observation 71615caa-ad9e-475c-9542-3a492e10b4ca · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

InternLM2 Technical Report Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.616743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:714eda76651a838957539eb85d95d413b66918e090867a425b8c766961bc8747

Observation 5dd1e8f2-4264-448f-8228-d6e1732fc581 · outbound

This paper cites Skywork: A more open bilingual foundation model.

InternLM2 Technical Report Skywork: A more open bilingual foundation model

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.619714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:eabebf37f7319cec04bf9de72385fe36c607b9239ee75389ad4c2135df705388

Observation 8f757b88-4eec-45e2-a1bf-77dd0261d419 · outbound

This paper cites QuRating: Selecting High-Quality Data for Training Language Models.

InternLM2 Technical Report QuRating: Selecting High-Quality Data for Training Language Models

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.290169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:8c95f926fec74697e5f3cc1abb6f9bbec6a258983b35799976c91c29b3829f47

Observation 68f96622-52ec-4604-824e-07fd248ba4af · outbound

This paper cites Narasimhan, and Yuan Cao.

InternLM2 Technical Report Narasimhan, and Yuan Cao

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.621816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:7355fa177eff6288e6531f7f2adf73cb2e6dc35f9fcfe2fc462a183881ce329d

Observation 73ce2f7e-34f5-4675-a5c6-eeedc51bf7b7 · outbound

This paper cites Internlm-math: Open math large language models toward verifiable reasoning.

InternLM2 Technical Report Internlm-math: Open math large language models toward verifiable reasoning

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.624159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:6bd3e3a8accc0afc683917bb55c307fa8926d7d513413b44a18df63a558037ff

Observation 22b16eec-cf64-4f95-a68f-803ce1cade2c · outbound

This paper cites GLM-130B: an open bilingual pre-trained model.

InternLM2 Technical Report GLM-130B: an open bilingual pre-trained model

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.626351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:6622c10d1bbbe58ca53f523178798135f71dbffde5b7101bddfb296d7e645bd3

Observation 983887af-6570-4c39-b5b3-6a19d61cbb19 · outbound

This paper cites Root mean square layer normalization.

InternLM2 Technical Report Root mean square layer normalization

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.628463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:19a4bcec82d4c80adec662277a0fe4676886fe4f7e1c723c98965ba8ea2f2125

Observation eb6bb28e-469b-43c1-99f8-a68fa6175e99 · outbound

This paper cites Evaluating the performance of large language models on gaokao benchmark.

InternLM2 Technical Report Evaluating the performance of large language models on gaokao benchmark

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.630956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:6a9395e057f2da697d13731c332a79390cdeff5110a33c5cfbc745064a8274e7

Observation 50a0ba95-283f-427b-a93a-782ebab330e4 · outbound

This paper cites Mics: Near-linear scaling for training gigantic model on public.

InternLM2 Technical Report Mics: Near-linear scaling for training gigantic model on public

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.633185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:3a7dc820806df7e1418f3bfbf09e31ffb4225a715d8d24cffce2c7c15b17d51f

Observation 01cc1215-0c87-400e-bfc9-ee418b8dff80 · outbound

This paper cites P Xing, Hao Zhang, Joseph E.

InternLM2 Technical Report P Xing, Hao Zhang, Joseph E

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.635363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:1c47097d45c435a3ef855f1aad02f3fc98e4a027bcfbb1466f26fc80c6998c09

Observation 58ddb2a2-1007-422b-9430-f1cae09d85b1 · outbound

This paper cites Agieval: A human-centric benchmark for evaluating foundation models.

InternLM2 Technical Report Agieval: A human-centric benchmark for evaluating foundation models

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.637826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:0595bd85e559a96723672e3702c0d6d587bcc93a7e1bc9cb96ac22c238b3b761

Observation 80b1a5f3-c227-4078-9c74-9d20c55c5331 · outbound

This paper cites an unresolved cited work.

InternLM2 Technical Report Unresolved cited work

Reference 104

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:44:38.640010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:e872c71ba75e85ce1467f7c85867e3ccd3b544790899d281a20a7ff8e991bec2

Observation 0b15add6-c13d-429e-be15-9f5eaae1f3be · outbound

This paper cites Nemotron-4 15B Technical Report.

InternLM2 Technical Report Nemotron-4 15B Technical Report

Reference 105

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.367934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:30c9d4f955f258e0434ea2be9d7864b4dc9fdd6438e5fa6fcdc27d9676a2f27c

Observation d689f78f-561b-480f-b9f2-4d76ae2ec6a9 · outbound

This paper cites Scaling Learning Algorithms Towards.

InternLM2 Technical Report Scaling Learning Algorithms Towards

Reference 106

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.642399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:9da2edb3f0eb0cda04355cf5d156d99da3ad15801af67b6046b945bd057418b3

Observation f492e7c4-2bba-486f-b58e-040fc5fe74c6 · outbound

This paper cites 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22) , pages=.

InternLM2 Technical Report 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22) , pages=

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.644487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:36783b5cd43b1a2cbee1810bc23fcbcdb1797158cdd5b4e2bb9b1cebb302771f

Observation c32df830-f466-41ee-b576-1334c73440ab · outbound

This paper cites USENIX Symposium on Networked Systems Design and Implementation (NSDI’24) , year=.

InternLM2 Technical Report USENIX Symposium on Networked Systems Design and Implementation (NSDI’24) , year=

Reference 108

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.646491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:8f922b00229e2885cc6f93506e7f56a8616a6948fbd8e98382ef2445eff03b0c

Observation d208c1a6-b6f7-4743-8889-f35c9891bfd3 · outbound

This paper cites 13th USENIX symposium on operating systems design and implementation (OSDI 18) , pages=.

InternLM2 Technical Report 13th USENIX symposium on operating systems design and implementation (OSDI 18) , pages=

Reference 109

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.648383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:6aef21172e76598c69a0cd263744416be991e2b5586f69335c0789458e523dd8

Observation d4527544-ec7c-49b1-9c71-26c6b2fe4cfb · outbound

This paper cites Code Needs Comments: Enhancing Code LLMs with Comment Augmentation.

InternLM2 Technical Report Code Needs Comments: Enhancing Code LLMs with Comment Augmentation

Reference 110

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.344488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:8192833e376f71d01d83da182d3064e096a3db10d01c67fb4371be54fd5e9d80

Observation 572628af-9556-4c10-892e-100d9e56c4c4 · outbound

This paper cites 2024 , eprint=.

InternLM2 Technical Report 2024 , eprint=

Reference 111

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.650146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:2f841129ac864da6a762f54bd52c24a8bc768f895f700cb5e0621abda7914314

Observation 4504217e-82ba-4b4d-9b4b-64f6fd3f2967 · outbound

This paper cites Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=.

InternLM2 Technical Report Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=

Reference 112

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.652521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:3cdd74f4ffa659e11bca3b9de67481fe5c374db638f36d646eedfe832b201f7b

Observation 09104014-1ba5-4fb9-8d86-d987a0ee31c4 · outbound

This paper cites Proceedings of the VLDB Endowment , volume=.

InternLM2 Technical Report Proceedings of the VLDB Endowment , volume=

Reference 113

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.654468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:417dee848e6d85efbc76304525db2774d6981dc3d886f76e1dd30b7e608c085e

Observation 48095d4f-f079-4ad1-a919-83f92c0e8864 · outbound

This paper cites How to Train Data-Efficient LLMs , journal =.

InternLM2 Technical Report How to Train Data-Efficient LLMs , journal =

Reference 114

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.656580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:62712bee9377a04c5dc387b1831ae7c664fa2a8a267ce71112f1e3d74295135c

Observation 97cffde5-d8b7-496e-8fe2-11fc98e1ceda · outbound

This paper cites CoRR , volume =.

InternLM2 Technical Report CoRR , volume =

Reference 115

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.658322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:b437ceef679e23d3036e22ed1c26964e13232a7a71ef29b173dcad5c8f5ad9e4

Observation 9726673b-043a-4212-a0e3-84ff78092036 · outbound

This paper cites Wu and Y.

InternLM2 Technical Report Wu and Y

Reference 116

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.660247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:670613ff1bb3bdbe0858bc1d99250f37295526137f061789b718df5d84593172

Observation 802eef8f-290c-4fa7-b083-2e90d17a1140 · outbound

This paper cites 2024 , eprint=.

InternLM2 Technical Report 2024 , eprint=

Reference 117

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.662119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:9af7793dca85ed54df5dbce07d2575141c1767e707f809f18804444fa29f39c5

Observation 647a01f9-9f5b-4443-8f52-8ab8a67b5fce · outbound

This paper cites an unresolved cited work.

InternLM2 Technical Report Unresolved cited work

Reference 118

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:44:38.663784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:c12209ec9fd04a097bf2aef8b5360e738a22ab11ad75c0ec92566da27b1e10d7

Observation 61b4aab4-62b2-475d-8ee1-443922e1e0f6 · outbound

This paper cites InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding.

InternLM2 Technical Report InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 119

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.356162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:c786ad2fabb3f24f5d1889907c6c51923522637e15c3bdde5f40645a74f8e5d3

Observation 4b63cb89-dc03-4313-8708-a86945c4359c · outbound

This paper cites SC20: International Conference for High Performance Computing, Networking, Storage and Analysis , pages=.

InternLM2 Technical Report SC20: International Conference for High Performance Computing, Networking, Storage and Analysis , pages=

Reference 120

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.666120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:e4d9b2392df8e1586560a386b4d4beaa8677a52c67cc7d599a6f9ee5664f0e87

Observation 3b205ea0-f6a5-4698-b3ca-8c735a313825 · outbound

This paper cites Proceedings of Machine Learning and Systems , volume=.

InternLM2 Technical Report Proceedings of Machine Learning and Systems , volume=

Reference 121

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.668101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:0adf4805a4192ea105502d65a7707d3c17082712678ee1cef1e06c1aeb3f14ec

Observation 49be7d67-c849-4a5c-9dbd-5a619e383518 · outbound

This paper cites Advances in neural information processing systems , volume=.

InternLM2 Technical Report Advances in neural information processing systems , volume=

Reference 122

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.670144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ab40f3be15c8fe9c873cb93aba15426e0af056f945c992ad0bff293d6aa2984a

Observation 6373220f-520c-4288-8962-0666c4ec80a0 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

InternLM2 Technical Report Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 123

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T11:44:38.305794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:a859f8d90cf7f9a51052a3741bd9b2f537caafcde56eccf191b46c828ca53dfd

Observation e3b87393-5352-4ab4-a3b2-f1e8a5f0bebc · outbound

This paper cites an unresolved cited work.

InternLM2 Technical Report Unresolved cited work

Reference 124

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:44:38.382863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ef14d947c48bcbf154e23838fcb61df3cf80217a3b3d68af2cb5f48bd9e53b52

Observation dc5d63e6-ac95-4b0b-bfe5-34471f37b26e · outbound

This paper cites Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , pages=.

InternLM2 Technical Report Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , pages=

Reference 125

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.385906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:92345430f6ca79b38192d37e636c1c8f915bc7ed78a0a5276133d19d18b7efe4

Observation 79835437-3282-4e0c-895c-b4b697449a86 · outbound

This paper cites an unresolved cited work.

InternLM2 Technical Report Unresolved cited work

Reference 126

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:44:38.388552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:2cb836f06bcac13af4f43e405035730abc0accf16a173658683c3be655279612

Observation 22db64fa-2c1d-4136-9eaf-a6d58acd5c76 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

InternLM2 Technical Report and Osindero, Simon and Teh, Yee Whye , journal =

Reference 127

Resolution
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raw_fallback, observed 2026-05-15T11:44:38.391279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:5342af721635f4aa7daa38199d263f9a7ae042174d5a4ef273c43f9514f6d682

Observation 809c8ef4-9b73-44b0-99df-a41a6af67b48 · outbound

This paper cites 2016 , publisher=.

InternLM2 Technical Report 2016 , publisher=

Reference 128

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.394050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:dff5fbd6cd7caa48b2a07b7a9fe3047853589dbfb0a5389a0606c8eb7b620958

Observation 58fbda4a-b4f1-43a4-8fb3-d305431437e2 · outbound

This paper cites Christiano and Jan Leike and Tom B.

InternLM2 Technical Report Christiano and Jan Leike and Tom B

Reference 129

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.396745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:b9031efd582b8f28606fd174354b9597742808c8bcecdff3dc809309a5ed8b80

Observation 24acce60-4fb0-4a53-abf6-7c0ef8ab9977 · outbound

This paper cites Proximal Policy Optimization Algorithms.

InternLM2 Technical Report Proximal Policy Optimization Algorithms

Reference 130

Resolution
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local_arxiv, observed 2026-05-15T11:44:38.380080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:8906947a5d183847926a00e624fc1ced7bdb5c543bf5575844ae94f10555fc43

Observation c682c4c1-f78d-473e-b559-f7a81a971488 · outbound

This paper cites Preference Learning with Gaussian Processes.

InternLM2 Technical Report Preference Learning with Gaussian Processes

Reference 131

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.243928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ad84172206f4cb6059f9acd1a8df08e8112369ed52c5371b9d5cf60b8b0a507b

Observation 73c3e2f0-41d5-4c97-a11c-507cb8e2e71b · outbound

This paper cites (2017) Focal loss for dense object detection.

InternLM2 Technical Report (2017) Focal loss for dense object detection

Reference 132

Resolution
verified exact
doi, observed 2026-05-15T11:44:38.147876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ea323de131477d8b29bfd5730bd7f4905732ddb6a04041e4e630a7c5a7c4d079

Observation 308c5fff-4e50-4afc-b9b0-575895e49970 · outbound

This paper cites 2022 , eprint=.

InternLM2 Technical Report 2022 , eprint=

Reference 133

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.399266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:139cf72708e4c62db6ea010a694905318970d488b9171386bf2e7b5702fdda56

Observation 5cdafcca-d327-421b-b904-4e6859a24767 · outbound

This paper cites Ziegler and Ryan Lowe and Chelsea Voss and Alec Radford and Dario Amodei and Paul Christiano , title =.

InternLM2 Technical Report Ziegler and Ryan Lowe and Chelsea Voss and Alec Radford and Dario Amodei and Paul Christiano , title =

Reference 134

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.402494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:dd76b586e2d4af7a9e910ecf80837180410ee02791e088f0bfcc9623eb91fbf0

Observation f9e36472-49ff-47be-87a4-0011e9250d8a · outbound

This paper cites Let's Verify Step by Step.

InternLM2 Technical Report Let's Verify Step by Step

Reference 135

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T11:44:38.302566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:6246ead497608680e1df0759e9fbd7f52dda346dfd0e22b1a889df5c2ef77c56

Observation c32dc6ee-a4ea-4e64-8413-5590c33c410a · outbound

This paper cites 2023 , eprint=.

InternLM2 Technical Report 2023 , eprint=

Reference 136

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.405208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:4b4a6a97ac280c48d6b6507d62f5688312507e34380441e990f862f5b5b27912

Observation 41746490-b5ec-4968-9074-6c5fca676f45 · outbound

This paper cites Understanding Dataset Difficulty with.

InternLM2 Technical Report Understanding Dataset Difficulty with

Reference 137

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.407819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:6e2239c2c4235b9d2b1fd33fc05ee68a5fe7582c04ca1ad0e94fb6fea431828c

Observation 99ecc1d9-b13d-431e-b583-086846b53a41 · outbound

This paper cites GitHub repository , howpublished =.

InternLM2 Technical Report GitHub repository , howpublished =

Reference 138

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.410503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:5d8deb5c9b99e972dcf8d3ef7ead47ed83a22288baa349b7ce65eae8763f4810

Observation 99a5b0c8-b4d4-4c95-8612-a020b7c883dd · outbound

This paper cites GitHub repository , howpublished =.

InternLM2 Technical Report GitHub repository , howpublished =

Reference 139

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.413085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:211f989182aa582f645d4336f833bbfce147f695abeae29a6806f63d9fda5a34

Observation 018f67bf-4c0b-4b38-9228-89917d15c0e3 · outbound

This paper cites author=.

InternLM2 Technical Report author=

Reference 140

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.415537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:a3bf16a7e674320c8c4deacdcd28094835c598e28c1c2901e5aa0ec037e3cbec

Observation ee4a9bb3-def5-4b4c-bbce-ca0054a7347b · outbound

This paper cites 2023 , month=.

InternLM2 Technical Report 2023 , month=

Reference 141

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.417991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:555037534f1fba1b17373bb97350e60ec0ec60b56f77c5734cce4cc42b61c415

Observation 50f07c67-0777-483f-bb32-0e7eee275493 · outbound

This paper cites an unresolved cited work.

InternLM2 Technical Report Unresolved cited work

Reference 142

Resolution
unresolved
raw_fallback, observed 2026-05-15T11:44:38.420762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:42fdddf4ff8bf1f0f101d38f57cdb3fc593cf75019b5e496b79486933372a87a

Observation 12bbfef4-0b05-4e7b-a7bb-6c2df6e4325c · outbound

This paper cites 2023 , howpublished=.

InternLM2 Technical Report 2023 , howpublished=

Reference 143

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T11:44:38.423585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:fd2c387339d43a2444663fa8bd149d52164e94583795ac26104096de56fcdfe6

Observation 0f95091f-4942-4288-b96d-f2745c75f862 · outbound

This paper cites InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding.

InternLM2 Technical Report InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.287109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:41cccca93a4da2ce30faa102911e47f22cea2d81da0f39f6d6fe1e8826a4e277

Observation 08bb3c70-e9ca-4d20-b2a4-61d598689b90 · outbound

This paper cites Skywork: A More Open Bilingual Foundation Model.

InternLM2 Technical Report Skywork: A More Open Bilingual Foundation Model

Reference 145

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.158686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:e77c603465c4c832150b1684392e0805f4c3ed8e71c4c31934a1bf6d840c5a53

Observation fbb939c1-d1fd-47aa-b459-a30f4166bc4d · outbound

This paper cites GPT-4 Technical Report.

InternLM2 Technical Report GPT-4 Technical Report

Reference 146

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T11:44:38.165902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ea1c3ea1cb0e12a3640a9f14458ff53ca23ba6461aeba81ff57292bda360c09d

Observation c8d343fb-e86f-43e3-9e17-4839fb1389e0 · outbound

This paper cites L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

InternLM2 Technical Report L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Reference 147

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.169759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:c315ae2b44cbfc96df221459246a4eacce6b8f11f3fe8a6c123f7e7d8fef6cd0

Observation 415934c8-667f-4497-a63d-da8295d89194 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

InternLM2 Technical Report LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 148

Resolution
verified exact
local_arxiv, observed 2026-05-15T11:44:38.181891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:6dcfe33350a47f87038c90d254161b08ee1669e31711e040a7e02b6baff6f01e

Observation d6a3cf08-0b43-4930-814a-8d21be62e240 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

InternLM2 Technical Report The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 149

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T11:44:38.185681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:5a615347df752dde8b9937f59bf8f633625c51c278a75d0240d20866d0cc96be

Observation 425252be-ba26-4ab3-9f23-444edab00c15 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

InternLM2 Technical Report Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 150

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T11:44:38.189111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:fbbeac4a533d41b60f60cdfe940bb884fcc703ae1b845ff5207adcde4e388b26

Observation b751f984-93be-4913-a9ad-b0e1f11f1341 · outbound

This paper cites Effective Long-Context Scaling of Foundation Models.

InternLM2 Technical Report Effective Long-Context Scaling of Foundation Models

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.193152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:49e4bc8e76adcd4dd718dbefa74aecb4f3573bfee3a3b17438d92797d95433da

Pith citing papers

Observation 08551589-17f8-406f-bb65-004df6b9f40b · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey InternLM2 Technical Report

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:13:52.973221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-24T04:13:05.328492Z digest=sha256:fce4d95862927720135bd8732c307f053da36c5c75050bef194cd51bd0d97e50

Observation 512c53e1-9f10-4260-86fb-81da6b2b490f · inbound

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites InternLM2 Technical Report

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T20:58:58.849040Z digest=sha256:60ea9e2cb7484bc425cc372c3cd13885c0c73494b1f586d8709c78ff14439fa2

Observation 95df49c6-7ed0-4fd1-8578-c9df2887dc29 · inbound

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline cites this paper.

From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline InternLM2 Technical Report

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T00:03:38.978285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:c031c033bc42fc208a4c00e126c45f7cfbb9f48e512e043fe026c331de9d1c4e

Observation 8028fda7-9fa7-4b12-b7e3-89a08200c678 · inbound

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output cites this paper.

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output InternLM2 Technical Report

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-17T10:46:28.782690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T10:46:28.447347Z digest=sha256:42d00b90ccaed355a6706f2e672038304adb747122fb1ef5abbd77e638fecb27

Observation e5cad035-453f-4a0c-9fc4-121c8aa563d4 · inbound

MinerU: An Open-Source Solution for Precise Document Content Extraction cites this paper.

MinerU: An Open-Source Solution for Precise Document Content Extraction InternLM2 Technical Report

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-16T04:00:25.789593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T04:00:25.624430Z digest=sha256:53cacc54ed3e0b2690029262d0abd1974758a1af808e953af47bd29a23167f15

Observation 359aa580-0b57-4f62-b545-e43c6cba2075 · inbound

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs cites this paper.

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs InternLM2 Technical Report

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-17T16:18:01.600452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T16:18:01.560780Z digest=sha256:4dbfc114a3efdbfa74b1dba706debe029ad5505b9dd03ee25b216cf2c2f704b8

Observation 0b80a33e-10d1-47e3-a46b-efdf5858ea30 · inbound

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization cites this paper.

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization InternLM2 Technical Report

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-16T09:16:17.264448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T09:16:17.150383Z digest=sha256:b58d973649c3672beb2bdd16a0ab7be24b8f775d0cda5e00891e8adb146fb7b0

Observation e101ffbc-5196-4ad1-923a-711163632721 · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling InternLM2 Technical Report

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T13:23:57.588851Z digest=sha256:5de3a71e6f79f322c9b628230a0e9ff2590227d18343d0aee74f471bb7640aa1

Observation 1e93dfae-f8d2-48cb-bd97-4d65717864ef · inbound

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling cites this paper.

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling InternLM2 Technical Report

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-17T02:52:20.689675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T02:52:20.643070Z digest=sha256:12962caaee88c8d23219e19f9a1b27069896d957302287c58dde82c8d8100d98

Observation 886be895-644a-48e6-add2-e8750a03b48a · inbound

Visual-RFT: Visual Reinforcement Fine-Tuning cites this paper.

Visual-RFT: Visual Reinforcement Fine-Tuning InternLM2 Technical Report

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T22:16:16.528682Z digest=sha256:a16aebd94525bbc05edd5d9083a9fccbca6aebaa5a988cc5c3616b8a7891066a

Observation d3fe9b29-a3a5-45e4-85d7-f5427c245616 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models InternLM2 Technical Report

Reference 64

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arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:4f1cfe42b730fe34f5ad5d9c8ac5980b979c0a07496751233a7c1cb23b910d4c

Observation 879c5ce4-ee42-4626-be16-25e2951f4994 · inbound

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data cites this paper.

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data InternLM2 Technical Report

Reference 70

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local_arxiv, observed 2026-05-17T20:55:52.265998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T20:55:52.109166Z digest=sha256:a2df762fd187ce036f258775282dec5344bd6b58808f07d905056f9c6124508f

Observation 08cc6faa-8087-4c32-8aed-2320f6a33725 · inbound

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement InternLM2 Technical Report

Reference 10

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verified exact
local_arxiv, observed 2026-05-21T23:30:46.082347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-21T23:26:38.457193Z digest=sha256:ea8f4a49573527aa60aa79a5dc5d8eec0fce527aec58e2708b1d8d0d0a060674

Observation 9ba8def6-8af5-4b2a-b405-02d9322b37a7 · inbound

BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models cites this paper.

BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models InternLM2 Technical Report

Reference 9

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unresolved
no resolver link, observed 2026-08-05T22:35:50.328264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:35:50.328264Z digest=sha256:02f492221609917a5622bbb802d812e1069e140a9edd192c05a39971ea257aa2

Observation 912a80f7-9bf9-4a1e-8a04-0883191cb9bd · inbound

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency cites this paper.

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency InternLM2 Technical Report

Reference 9

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arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T11:58:58.660564Z digest=sha256:67ff451708f96f7452c7eed25094d2f23ae09e438ded349021fef1f8fc14c491

Observation 01ebf2da-cbad-4c1c-a9b9-5964217ee933 · inbound

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units cites this paper.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units InternLM2 Technical Report

Reference 4

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no resolver link, observed 2026-08-05T16:18:44.071163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:18:44.071163Z digest=sha256:38aa0f19d105e3a813d51ceb136a28647f6066931a3c10709d2eaffd45bae1f0

Observation 1151e1ed-d782-4e73-b7f9-3c3a786e3bbd · inbound

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression cites this paper.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression InternLM2 Technical Report

Reference 3

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no resolver link, observed 2026-08-05T12:52:00.462898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:00.462898Z digest=sha256:09e182168a28373d62408021f52836bea5e291cd018e5854017ecb2f465d0c97

Observation 77c316b4-fe87-4df9-8bc9-63ab4c6561bc · inbound

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model cites this paper.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model InternLM2 Technical Report

Reference 3

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no resolver link, observed 2026-08-05T11:32:31.709766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:32:31.709766Z digest=sha256:a61b6bb633eec71bcc5d25b0028e090516f4d3cfa67f7776cb117de8a4874559

Observation d39ed4e4-038b-4557-ac5a-95b13fd8fc40 · inbound

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference cites this paper.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference InternLM2 Technical Report

Reference 48

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no resolver link, observed 2026-08-05T11:01:16.700701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.700701Z digest=sha256:c88c01f81318c90b6045f811feac6d07ece0919526fcbb79ac5149fd7a9dd733

Observation f14f4882-d36e-4e59-aea2-dcf53c76e976 · inbound

Aesthetic Image Captioning with Saliency Enhanced MLLMs cites this paper.

Aesthetic Image Captioning with Saliency Enhanced MLLMs InternLM2 Technical Report

Reference 43

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no resolver link, observed 2026-08-05T10:15:50.252054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:15:50.252054Z digest=sha256:e087b40b7c1ab96ae8a84e2ad044fdf83ce9803f671938cee829843b28a886d8

Observation 163f588a-820f-4e44-96dc-363e3f0a1951 · inbound

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models cites this paper.

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models InternLM2 Technical Report

Reference 11

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no resolver link, observed 2026-08-04T20:32:56.418696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:32:56.418696Z digest=sha256:701e7b76598e1ed7f10eec14778f74b1627f2854cc45d29fde5767c922be4430

Observation c607c490-baed-4204-b288-1d288398490a · inbound

UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes cites this paper.

UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes InternLM2 Technical Report

Reference 7

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verified exact
local_arxiv, observed 2026-05-17T04:39:03.346050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T04:37:12.944874Z digest=sha256:357d5e0969d13b797feb38d7fe2bff548ec21e0f40bc100f2f9dd491f82ebd8b

Observation 183fd8e0-b25a-4fcc-a077-b286aba51e48 · inbound

StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision cites this paper.

StereoVLA: Enhancing Vision-Language-Action Models with Stereo Vision InternLM2 Technical Report

Reference 53

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no resolver link, observed 2026-08-03T14:00:20.874567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:00:20.874567Z digest=sha256:205f116de2d4e91fe01eca31ab48546f5d5b6344e230bec06d41094ecb1c5fac

Observation 9573271e-1e58-40bc-81ff-22004371ef3f · inbound

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis cites this paper.

Forest-Chat: Adapting Vision-Language Agents for Interactive Forest Change Analysis InternLM2 Technical Report

Reference 2024

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no resolver link, observed 2026-08-03T09:13:38.456936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:13:38.456936Z digest=sha256:08579c2847d5272733302adbb16869684671baac7721263337a8c0ef0caba9e2

Observation 705b93b7-03fa-4fe5-90a7-e076852e4283 · inbound

SERA: Soft-Verified Efficient Repository Agents cites this paper.

SERA: Soft-Verified Efficient Repository Agents InternLM2 Technical Report

Reference 2025

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no resolver link, observed 2026-08-03T07:17:13.383132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:17:13.383132Z digest=sha256:b9d1d83a10fee19d857cd8fccddac13780ee1e22562ed606ace9489ea117d081

Observation a9d99423-d48c-49a6-a38b-833fa26e2c9f · inbound

Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning cites this paper.

Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning InternLM2 Technical Report

Reference 3

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verified exact
local_arxiv, observed 2026-05-16T06:17:26.738281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T06:13:33.315525Z digest=sha256:6f8287d3647fdf667b18211255229997732c7ec8ad550647324410b2ca060e2f

Observation 0deb1ac7-bd31-4c6a-8b83-554ab65b3975 · inbound

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation cites this paper.

Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation InternLM2 Technical Report

Reference 13

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unresolved
no resolver link, observed 2026-08-03T03:04:43.319892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:04:43.319892Z digest=sha256:762909909384a94a8a1cc1c6c6a656b7c66e7e45a8b1cb1064bfc57fc1395535

Observation edf32528-9d68-433c-9844-3459f9db6d08 · inbound

Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation cites this paper.

Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation InternLM2 Technical Report

Reference 2

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metadata mismatch
local_arxiv, observed 2026-05-16T05:11:07.732983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T05:11:07.600760Z digest=sha256:0ebde82e6f7aa887cc406b05ae7e5af4a71d202ac3090060c9252a3632587d2f

Observation 065e7d23-65e6-4629-a474-ebf47fb08156 · inbound

A Minimal Agent for Automated Theorem Proving cites this paper.

A Minimal Agent for Automated Theorem Proving InternLM2 Technical Report

Reference 57

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verified exact
local_arxiv, observed 2026-05-15T18:46:29.343979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T18:44:35.600033Z digest=sha256:50a34ba099007a6d6ba0a0dfb255d1b4ab9f5ebf247bc8a55b5642bf21e503ca

Observation 8a1ffac9-03c3-4bcb-a9ef-a128db973ed6 · inbound

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data cites this paper.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data InternLM2 Technical Report

Reference 69

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no resolver link, observed 2026-08-02T18:39:40.626602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:39:40.626602Z digest=sha256:f23641c1517517ce188f9f55b36f6db62386ddc84088edc18a5a3a24bc9c6a2d

Observation 96b28228-8386-4a0d-8f79-3a681dc80fc2 · inbound

Visual-ERM: Reward Modeling for Visual Equivalence cites this paper.

Visual-ERM: Reward Modeling for Visual Equivalence InternLM2 Technical Report

Reference 3

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verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T11:19:42.002790Z digest=sha256:71311077d0fdd401b390d8943c331f985d43b27f0e7c2c84d3142f751c0983f2

Observation affbb95c-25f5-46b9-9509-47599f013b87 · inbound

Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space cites this paper.

Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space InternLM2 Technical Report

Reference 6

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unresolved
no resolver link, observed 2026-08-02T18:16:31.894398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:16:31.894398Z digest=sha256:c59ac55188239d633944645b48fc8c31b53194bb18974893ea78962203e882b4

Observation 5f91b440-5e89-46d0-b59a-43edbdf57fdd · inbound

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization cites this paper.

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization InternLM2 Technical Report

Reference 2

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verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:28:17.333001Z digest=sha256:3a3aec53ed458ba43ff0a82546eb814d3b3a6659e31cce8fb4a4bc0395375ef4

Observation 48efea46-5b12-427f-a764-774733b42aa8 · inbound

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization cites this paper.

Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization InternLM2 Technical Report

Reference 1952

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no resolver link, observed 2026-08-02T16:39:51.048852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:39:51.048852Z digest=sha256:7cd2c24fac1c10a1f852e52e1d759a3d4bd9301642350e6ab28bdf51d01e63db

Observation 00da66ee-2403-41ea-91a3-4cca44162316 · inbound

HAWK: Head Importance-Aware Visual Token Pruning in Multimodal Models cites this paper.

HAWK: Head Importance-Aware Visual Token Pruning in Multimodal Models InternLM2 Technical Report

Reference 5

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verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:20:19.653806Z digest=sha256:94608cc4da98f20ea0e41d5776d35d5548b2e49f5256ff5a6824574575622e71

Observation 7886c7cb-361c-406d-b169-59ed727842ab · inbound

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice cites this paper.

TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice InternLM2 Technical Report

Reference 7

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verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-10T17:59:44.844149Z digest=sha256:2420fc04a0a3d13f1b949a24610577479143be2a3e9f4f11398086cb3cf29840

Observation f075c135-c828-45a3-939d-20210209be59 · inbound

BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning cites this paper.

BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning InternLM2 Technical Report

Reference 4

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verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T17:09:24.662459Z digest=sha256:b925206342fc17e2fd8ebdc4da1484a9c21c36bcadf86fbce458edf117ce17db

Observation 2bbe4b02-6f5a-40c3-995c-aeb95b1978a8 · inbound

CompliBench: Benchmarking LLM Judges for Compliance Violation Detection in Dialogue Systems cites this paper.

CompliBench: Benchmarking LLM Judges for Compliance Violation Detection in Dialogue Systems InternLM2 Technical Report

Reference 4

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verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T14:56:00.449776Z digest=sha256:581d88588296129dbe948c97343fd42928428533c0f6c24be937e87f3d3e79e4

Observation 379b85a3-b710-492f-a00f-7087c9630f99 · inbound

Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models cites this paper.

Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models InternLM2 Technical Report

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T13:01:26.436025Z digest=sha256:ce5b8a4d3ac80fe4dc318fae037bdaa6a7a0855515cdf15e30f53608f91741f7

Observation 48c09f6b-80c5-4538-b71c-25eb02ab6b33 · inbound

Why Do Vision Language Models Struggle To Recognize Human Emotions? cites this paper.

Why Do Vision Language Models Struggle To Recognize Human Emotions? InternLM2 Technical Report

Reference 9

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metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T11:02:51.836285Z digest=sha256:11149b05d152c530f22d6c9657afb8f17b76ed3cc8b76bc97bf921e06f585b59

Observation 26889e96-d09a-4668-8138-5e8677587d5c · inbound

Why Do Vision Language Models Struggle To Recognize Human Emotions? cites this paper.

Why Do Vision Language Models Struggle To Recognize Human Emotions? InternLM2 Technical Report

Reference 9

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unresolved
no resolver link, observed 2026-08-02T16:11:27.037155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:11:27.037155Z digest=sha256:e3ee9f64ac5a516cd2f243d1f195122b4f60f339259d19fbda79112678d0299c

Observation c7117c0e-5a4b-4bc2-9314-9c5a5ad2a79d · inbound

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation cites this paper.

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation InternLM2 Technical Report

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T14:30:00.890117Z digest=sha256:807c26aa18b3bc1167b561d463a87d706d967ee5fb78671fb15d377ffc4dd8b3

Observation 8426b689-46c5-46a7-b26b-03f75c86b5ab · inbound

CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation cites this paper.

CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation InternLM2 Technical Report

Reference 2

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malformed identifier
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T17:24:53.691034Z digest=sha256:0595652cbec80b27709b009c8aad7458526ed441ef24620f4acd0f73f2a2e21f

Observation c777bfe9-a4be-4265-a37a-5f570e73b893 · inbound

StoryAlign: Evaluating and Training Reward Models for Story Generation cites this paper.

StoryAlign: Evaluating and Training Reward Models for Story Generation InternLM2 Technical Report

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T17:29:13.549559Z digest=sha256:57b24128d6b888424e653d6922860f72d0659e91169cd5898083a0043070286f

Observation e8020996-4e4b-48ac-b6ed-1ea8a38b3ffa · inbound

VTAgent: Agentic Keyframe Anchoring for Evidence-Aware Video TextVQA cites this paper.

VTAgent: Agentic Keyframe Anchoring for Evidence-Aware Video TextVQA InternLM2 Technical Report

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T16:33:36.368456Z digest=sha256:8185083c54604ded7c6fa304f699435feb9a7ad44629e1af74160b8fea61833c

Observation d8f07c20-acc8-462a-aabd-d7ab3e872405 · inbound

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production cites this paper.

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production InternLM2 Technical Report

Reference 8

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verified exact
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T02:04:07.344134Z digest=sha256:f75246b58bca2d07e8821cacfe99869cb2226b810c657a789c14dc55c8bd6216

Observation fe849d50-87ef-4aa1-b358-584ca01074c3 · inbound

The Wittgensteinian Representation Hypothesis: Is Language the Attractor of Multimodal Convergence? cites this paper.

The Wittgensteinian Representation Hypothesis: Is Language the Attractor of Multimodal Convergence? InternLM2 Technical Report

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.670888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-12T03:42:41.434485Z digest=sha256:cf4d5d92b9d1c4b40576b7a585e98d5e32e32e23c7e042d34b10f32c1a64afe3

Observation 1906c7a2-f59a-42b2-89b6-db8fbd536229 · inbound

Exploring Lightweight Large Language Models for Court View Generation cites this paper.

Exploring Lightweight Large Language Models for Court View Generation InternLM2 Technical Report

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T21:37:47.963794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-19T21:35:00.419585Z digest=sha256:6c001752cd17eff2a1a9724c3dd5d3f2596e197b6f427cadebefbcfdba567c93

Observation 9c704ca5-d182-4b69-9f37-1860a7a8233f · inbound

Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning cites this paper.

Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning InternLM2 Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-25T05:00:21.211544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T04:59:59.593160Z digest=sha256:3ebcda6254840677cde76c164aa07e2f2a01a4fec56d88d387a56b111b4c852a

Observation 3b1c716e-8afd-4f0c-b00b-1ace6b648271 · inbound

Grounded 3D-Aware Spatial Vision-Language Modeling cites this paper.

Grounded 3D-Aware Spatial Vision-Language Modeling InternLM2 Technical Report

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:13:15.368621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T08:08:36.012761Z digest=sha256:d9bc452b772841289a4eb02e6b15819f03e15de87edc4101b008a8f7084c959f

Observation cbcfb6d9-d078-4531-8dc4-62f770210d5b · inbound

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO cites this paper.

Smaller Models are Natural Explorers for Policy-Level Diversity in GRPO InternLM2 Technical Report

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-06-29T00:02:50.016446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T23:54:32.621093Z digest=sha256:1646559ab037d068dfdca8e6ace0dcca9b75c7b1d8100390aba968fbae5221c4

Observation bc468521-4c6d-4b0d-be8f-10b356990f3e · inbound

MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency cites this paper.

MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency InternLM2 Technical Report

Reference 201

Resolution
verified exact
local_arxiv, observed 2026-07-02T01:46:26.670728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T11:34:24.019560Z digest=sha256:5d8adb60a884d7b51a7b8721d4be18a7bf9d07c6d2fec95cdc8c21817eac5ae3

Observation dfe61a3e-a3a6-48b7-b69b-6a8473ab770d · inbound

HARVE: Hacking-Aware Reward-Head Vector Editing for Robust Reward Models cites this paper.

HARVE: Hacking-Aware Reward-Head Vector Editing for Robust Reward Models InternLM2 Technical Report

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T01:46:26.798520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T11:32:16.166724Z digest=sha256:bd09b10568388f86bb2c04d77a01c69d43db46614f352d56686a4ffe7b1a4921

Observation 4ec984c0-c173-4fdf-a738-b008be3649d7 · inbound

Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis cites this paper.

Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis InternLM2 Technical Report

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-02T15:47:06.979533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T23:18:34.206475Z digest=sha256:02eedb2e4168dae645cc1c81ef80f8825080ad72560aee96f0d247d1619668c2

Observation 910d1a5d-16df-47f2-9a0f-cf0e687a1aa5 · inbound

Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding cites this paper.

Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding InternLM2 Technical Report

Reference 107

Resolution
verified exact
local_arxiv, observed 2026-07-02T17:07:12.848001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T22:11:01.690237Z digest=sha256:2b36e102b47821b30cb5de8f1cdb3f4a5873e40395f08e3602d7ff05027f0af2

Observation 46d887ac-cd1d-4108-a1e4-7c4ff7fa11b7 · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning InternLM2 Technical Report

Reference 262

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T10:48:02.946039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T09:48:27.652901Z digest=sha256:58999591dd93b36d72c68c94d1f040b548e4c61b197cad0c53949a8544e6f714

Observation bb3f9e80-9305-4707-9787-b669bfae4b17 · inbound

LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams cites this paper.

LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams InternLM2 Technical Report

Reference 94

Resolution
verified exact
local_arxiv, observed 2026-07-03T20:38:56.181360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T01:12:46.295455Z digest=sha256:31cac9228e8fb10c4c9517f952966beb708b5d77c8b466e8d0ded2bfa3b7531f

Observation 93876711-365c-427d-850d-e57f551d3530 · inbound

EventDrive: Event Cameras for Vision-Language Driving Intelligence cites this paper.

EventDrive: Event Cameras for Vision-Language Driving Intelligence InternLM2 Technical Report

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-03T20:18:57.098860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T01:26:43.752335Z digest=sha256:66683cb6cecbb8d8b265a2889bcded23263ae8206304068883a485626538ff44

Observation ba0d816e-bea1-4400-b87a-0c837e4d369b · inbound

From Memorization to Creation: Evaluating the Cognitive Depth of LLM-Generated Educational Questions cites this paper.

From Memorization to Creation: Evaluating the Cognitive Depth of LLM-Generated Educational Questions InternLM2 Technical Report

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-01T13:15:45.731046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T23:50:38.674342Z digest=sha256:ffe9d929fe0d37e21daccf458bdc07f1f087fc6401de6c1708fc6e3bb2af514d

Observation 48026837-9614-4a39-aa3e-369d477e6e4c · inbound

On the Position Bias of On-Policy Distillation cites this paper.

On the Position Bias of On-Policy Distillation InternLM2 Technical Report

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-04T08:59:42.592322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T10:45:16.028763Z digest=sha256:a7a46453d5d5ec100d1fd12bd1abdc255c8e3f095ef414714c7f4e102ca520fc

Observation 8c83e66a-7edc-4b9a-acc1-5fd9e7e1000e · inbound

On the Position Bias of On-Policy Distillation cites this paper.

On the Position Bias of On-Policy Distillation InternLM2 Technical Report

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:13:49.273784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T05:14:12.795412Z digest=sha256:9d8aa2e13f482bc424bd029566b0d17ff6eddbfc70a1bd450bdbd67956d57666

Observation 7457c98a-fa9e-46f1-a4b1-9d31ddaa1dfd · inbound

TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference cites this paper.

TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference InternLM2 Technical Report

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T14:09:53.742911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T04:24:38.917137Z digest=sha256:858fb08bb2ccb1e8d657d522e32e66915755ddcd838b09b7f77ef13f6f21aa59

Observation 1c0a6d94-1ce2-4660-a0e5-7ef100807adc · inbound

Memory-Managed Long-Context Attention: Bounded Editable Memory with a Hard Lifecycle and Calibrated Sparse Fallback cites this paper.

Memory-Managed Long-Context Attention: Bounded Editable Memory with a Hard Lifecycle and Calibrated Sparse Fallback InternLM2 Technical Report

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-06-30T09:54:35.304992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T09:46:57.030469Z digest=sha256:abe90f4040b2f53cb56673a94ca5171e3860012d073641858fd8d6cdb6647405

Observation 0542b6c3-5e2f-48aa-820c-89542bbbc416 · inbound

Memory-Managed Long-Context Attention: Bounded Editable Memory with a Hard Lifecycle and Calibrated Sparse Fallback cites this paper.

Memory-Managed Long-Context Attention: Bounded Editable Memory with a Hard Lifecycle and Calibrated Sparse Fallback InternLM2 Technical Report

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-13T07:16:45.194991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:16:45.194991Z digest=sha256:e0941a3c5bdaaa8096a32039e89efdae78b17100fe28118c484f52c2c96de89b

Observation e30ea469-1e5f-49e7-b50c-378befa4935f · inbound

Morphing into Hybrid Attention Models cites this paper.

Morphing into Hybrid Attention Models InternLM2 Technical Report

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-06-30T08:44:28.058419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T05:56:51.447893Z digest=sha256:9e2922d2e12ebd85afc156cc670792e0ab65b201cf3b53292eaeaae7ee0c4614

Observation 16d96f7d-f1e3-4c41-b6fc-22a9572cea71 · inbound

LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression cites this paper.

LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression InternLM2 Technical Report

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T16:58:42.350081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T16:53:43.427625Z digest=sha256:cd9c319a89ed1edf342b1e28b8528d0e487a08d267b1e2cdb5f0c776990430fa

Observation a3d2c6ed-2bff-46c6-86c3-26af4c695ed8 · inbound

Enhancing Fitness Intelligence through Domain-Specific LLM Post-Training cites this paper.

Enhancing Fitness Intelligence through Domain-Specific LLM Post-Training InternLM2 Technical Report

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-03T13:18:12.274759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T13:11:44.893703Z digest=sha256:7f0cad450f9779a23f0feb03b473b3fe4fbb47cbcec8b4db2207d8b9461e8232

Observation ae80fdb0-b39e-4f2e-b81c-22562341958d · inbound

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs cites this paper.

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs InternLM2 Technical Report

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T13:27:15.045935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:27:15.045935Z digest=sha256:b9d6e62d18a62300fb1012809dbd7f58162f6696df25d2e145584c0187e16fa3

Observation 77dc4a1a-717b-4448-aae7-b650afd36128 · inbound

Traceable LLM Reasoning for Fake-Order Fraud Detection cites this paper.

Traceable LLM Reasoning for Fake-Order Fraud Detection InternLM2 Technical Report

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T03:44:25.443149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:44:25.443149Z digest=sha256:6b268edd1fc8187ccaf176c1f90caa5c96c2096385b22cee53eb64e5cee86c7f

Observation 715b7076-78a3-42f9-b383-383bd9266930 · inbound

Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models cites this paper.

Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models InternLM2 Technical Report

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-07-31T01:27:12.590150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:27:12.590150Z digest=sha256:b2d1c66dda9b869560ba345616c3a89247eb05415b744a4e4f0bcac490803cb5

Observation 81395688-194b-4461-bd2c-74c0c08ad58e · inbound

Semantic-Aligned Structural Abstraction for Multimodal Sentiment Analysis cites this paper.

Semantic-Aligned Structural Abstraction for Multimodal Sentiment Analysis InternLM2 Technical Report

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T01:24:37.439237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:24:37.439237Z digest=sha256:0a58178fb0dc03dd0490d1f20510fad4f9a3d3e53cad325f8ade95bf676a8822

Observation e307e45a-ab02-482f-8f00-5484db6e875e · inbound

From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology cites this paper.

From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology InternLM2 Technical Report

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T17:47:36.064409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:47:36.064409Z digest=sha256:4ac331d92f5ae996965350f0aa6fa2a804244017669e27bf17daad9f18f95ad3

Observation f6d34313-4dea-4f30-83dc-a5537518c26c · inbound

SocietyBench: Forecasting Counterfactual Social-World Evolution cites this paper.

SocietyBench: Forecasting Counterfactual Social-World Evolution InternLM2 Technical Report

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T04:17:18.586926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:17:18.586926Z digest=sha256:9c9b9809439fbdeccee70234e879e1db2fd35da0f2370cd2016cb37c406293b0