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Paper Citation Record · LEDGER

Motif 3: Technical Report

As of 16 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2608.09119.

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

pith.paper-citation-record.v1
2608.09119 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:12:10.257064Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

80 of 80 outbound references displayed

  • verified exact2
  • verified fuzzy25
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96f7824b-af72-45ca-94c4-b066ab27a3ba · outbound

This paper cites Open-swe-traces: Advancing dual-mode multilingual distillation for software engineering agents.arXiv preprint arXiv:2606.16038, 2026.

Motif 3: Technical Report Open-swe-traces: Advancing dual-mode multilingual distillation for software engineering agents.arXiv preprint arXiv:2606.16038, 2026

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:09.825707Z digest=sha256:62ade1cbfaaa8b882ed04f539b046361f00b0ab6189b90d705335b70480ce17a

Observation 352dba50-6749-42e0-9915-6d0e5411b031 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Motif 3: Technical Report GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 2

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source=pdf_text observed=2026-08-11T23:12:09.831671Z digest=sha256:7a86390c3c93e8dc44a7566a71872f20060a47805cac99c085a2bdb7d27f5603

Observation 841138b4-2724-4e69-8baf-5a5130e03212 · outbound

This paper cites Artificial analysis long context reasoning benchmark (AA-LCR).

Motif 3: Technical Report Artificial analysis long context reasoning benchmark (AA-LCR)

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.727269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:09.837121Z digest=sha256:222ed39a8678430864695c8e11b5c849ed8989a26f1b86bda794fe6de135c0ad

Observation 40aa0b26-a862-4a1c-a28d-1b757effdcea · outbound

This paper cites GDPval-AA v2 leaderboard.

Motif 3: Technical Report GDPval-AA v2 leaderboard

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.706703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:09.842271Z digest=sha256:e0fb34809ae9fb278ae770c0b24eff1b25a28eab5b436a6c966bd28cc2c588ea

Observation b6625f1d-cf36-4563-9c2b-fc35cddbc030 · outbound

This paper cites ITBench-AA benchmark leaderboard.

Motif 3: Technical Report ITBench-AA benchmark leaderboard

Reference 5

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raw_fallback, observed 2026-08-11T23:12:12.686022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:09.847341Z digest=sha256:1da7a5775fe71a9fe41fcb201e2d00f198c955de2c11fa75877b073611d34552

Observation fa898f5c-a7e0-46f9-9761-2f37619f2734 · outbound

This paper cites Online benchmark and leaderboard, 2026.

Motif 3: Technical Report Online benchmark and leaderboard, 2026

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.669642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:09.852533Z digest=sha256:e1c5a3f6c607bd4db68843b3e8673215abfe92a0dd1312e8a5db7c3e97f91791

Observation 5185f0e5-841c-4aa7-b863-672c442b734a · outbound

This paper cites Program Synthesis with Large Language Models.

Motif 3: Technical Report Program Synthesis with Large Language Models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:09.857957Z digest=sha256:e8894318dbab41e48ab03f6d3656d365c844cbc2b7183652b678bd3e2f131a38

Observation 6f0ef21b-96ac-4424-ab24-8974ed0a099e · outbound

This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.

Motif 3: Technical Report $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T23:12:09.863007Z digest=sha256:e1ed8d7571ec62f647a17140670f56283b1fdb52159f9eda90aafc4822c7ae09

Observation e50f4243-4533-4305-aadb-db1254c99409 · outbound

This paper cites PIQA: Reasoning about physical commonsense in natural language.Proceedings of the AAAI Conference on Artificial Intelligence, 2020.

Motif 3: Technical Report PIQA: Reasoning about physical commonsense in natural language.Proceedings of the AAAI Conference on Artificial Intelligence, 2020

Reference 9

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raw_fallback, observed 2026-08-11T23:12:12.651150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:09.868468Z digest=sha256:f115a67a3043cddd35717f0a5e986c4c1175c6f92b1bf10e4c9bbf570a7c7dad

Observation 199e88d6-ca7d-46ff-9779-2cd69ff64e3f · outbound

This paper cites Striped Attention: Faster Ring Attention for Causal Transformers.

Motif 3: Technical Report Striped Attention: Faster Ring Attention for Causal Transformers

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T23:12:09.873268Z digest=sha256:833dfa04406d278fc3cadf6c2c6b8c85e3df9ea4b75644aa26d296c76a258630

Observation 58dd115d-3f9b-4094-9d29-0a3d1c046c96 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Motif 3: Technical Report Evaluating Large Language Models Trained on Code

Reference 11

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source=pdf_text observed=2026-08-11T23:12:09.879247Z digest=sha256:fc11129ef01fdc2a3a95eb54bcc837798873a8f1556a71c6def9e3ceaba994d9

Observation a00acdfe-bf4a-4e3e-a746-186b50672570 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Motif 3: Technical Report Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:09.884723Z digest=sha256:f102fa19c416a511c68c17c83239cd8b3d6608a1f56641475931914f43543219

Observation d348bc73-30ba-441d-9d03-714343bc4085 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Motif 3: Technical Report Training Verifiers to Solve Math Word Problems

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:09.890228Z digest=sha256:fb5b12adb3d715c58bb380788525dcc0c26a1334a1173e82b87d3f4df226ebbd

Observation e0858f7e-9ac6-49bd-b227-d4ba0c732763 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Motif 3: Technical Report DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T23:12:09.896042Z digest=sha256:967913cf7d421dd88bb889a59ce9926587ad74f0ca808e4ace458c6e243cd089

Observation d6f21ccd-3edc-476e-8f72-bf4d16546030 · outbound

This paper cites DeepSeek-V3 Technical Report.

Motif 3: Technical Report DeepSeek-V3 Technical Report

Reference 15

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T23:12:09.900991Z digest=sha256:c7c9b824054844b174a47f922e1f4f0bc20b4ad65d98f03535339f101e1add32

Observation 03229335-269f-4c32-8f16-8163414fc04a · outbound

This paper cites DeepEP: Hybrid expert-parallel communication.

Motif 3: Technical Report DeepEP: Hybrid expert-parallel communication

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.631570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:09.906139Z digest=sha256:e6d13f8c5a08dd3f2f6b9d44ec421ed4f9aeac56b3d736b23490f78c3a65066a

Observation 8124b7f4-17dc-49ef-802c-09147d7e1253 · outbound

This paper cites DeepSeek-V4: Towards highly efficient million-token context intelligence.arXiv preprint arXiv:2606.19348, June 2026.

Motif 3: Technical Report DeepSeek-V4: Towards highly efficient million-token context intelligence.arXiv preprint arXiv:2606.19348, June 2026

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:09.911684Z digest=sha256:dca69a0a54c8fe6ec41ae227acfd84cb82e96c77affb2256fde2e983ba6d3fb7

Observation 9cea9e0b-9a49-4487-83cd-920769eed99c · outbound

This paper cites Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs.

Motif 3: Technical Report Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs

Reference 18

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T23:12:09.916832Z digest=sha256:05353a9f511d79c6880a36efe518b0cafa72706627aa3426b1c6f8d71648fef8

Observation 381efd72-9d36-46f9-82e4-76da54536f5d · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Motif 3: Technical Report GLM-5: from Vibe Coding to Agentic Engineering

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:09.921673Z digest=sha256:0dfeaaadb34eb348c734b79633594b13d3e4f110b937b2f9b63166f6c45f70ca

Observation 3588dac7-b590-4ab2-abd8-4a4a8e694ebb · outbound

This paper cites Measuring massive multitask language understanding.International Conference on Learning Representations, 2021.

Motif 3: Technical Report Measuring massive multitask language understanding.International Conference on Learning Representations, 2021

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.605477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:09.926792Z digest=sha256:d2d452f1432b3bba50ba683a44dbafc83f79deb6441d7094a6c10f08edfbd194

Observation 1858c407-b6bc-47fe-b373-97f9a0ca6b0e · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.NeurIPS Datasets and Benchmarks, 2021.

Motif 3: Technical Report Measuring mathematical problem solving with the MATH dataset.NeurIPS Datasets and Benchmarks, 2021

Reference 21

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T23:12:09.931747Z digest=sha256:4c88459829c1f991bae7f6dcd05b5cbff31108103d801873a38a7f88940eff55

Observation 233b03fc-430f-4ebc-8bd8-207738f4ba10 · outbound

This paper cites Liger Kernel: Efficient Triton Kernels for LLM Training.

Motif 3: Technical Report Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 22

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source=pdf_text observed=2026-08-11T23:12:09.937202Z digest=sha256:cf24ec90028920c9456fc17f2f1625b7f92f83348e1127e2a01fa3ad80f904a3

Observation 38b03e6b-efa1-419c-b898-0a2ac5fecc36 · outbound

This paper cites Aa-omniscience: Evaluat- ing cross-domain knowledge reliability in large language models.arXiv preprint arXiv:2511.13029, 2025.

Motif 3: Technical Report Aa-omniscience: Evaluat- ing cross-domain knowledge reliability in large language models.arXiv preprint arXiv:2511.13029, 2025

Reference 23

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source=pdf_text observed=2026-08-11T23:12:09.942934Z digest=sha256:9b5b0b5c1b3d36e11657899a7c26ee874d39f64457680b0f11e4ee85b2c8ab38

Observation 5d5cfcbc-cbdb-41b1-9bc2-94807788e6d4 · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

Motif 3: Technical Report DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:09.947925Z digest=sha256:c524bb24a130c0d62f2abf278b9eecc968c3f819b55ab07898923f1815771b0f

Observation 07b4d204-c61b-4404-a55a-7273f46e0ce1 · outbound

This paper cites ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.

Motif 3: Technical Report ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks

Reference 25

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no resolver link, observed 2026-08-11T23:12:09.952843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:09.952843Z digest=sha256:2917e9bd5d29726e883265fcd9be0a1f4fd7b86813efea91be6f32f9cf4f7876

Observation 4d05a1ea-4f01-4880-adce-36b5a6f98733 · outbound

This paper cites DCP: Addressing input dynamism in long-context training via dynamic context parallelism.

Motif 3: Technical Report DCP: Addressing input dynamism in long-context training via dynamic context parallelism

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:09.957692Z digest=sha256:e63de318d178e6f2f41ac3ddd5ef80fc18f1a9854c4354ed2d99c7165983f053

Observation 608cb4a4-1909-4c77-a336-02bdd30fdb8a · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? InInternational Conference on Learning Representations, volume 2024, pages 54107–54157, 2024.

Motif 3: Technical Report Swe-bench: Can language models resolve real-world github issues? InInternational Conference on Learning Representations, volume 2024, pages 54107–54157, 2024

Reference 27

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source=pdf_text observed=2026-08-11T23:12:09.962235Z digest=sha256:08d8ab28edcc2dae68c07af3bf5cd6ec886e8062af8cededf5bd114822cfc714

Observation 5c2e2b74-fd1e-488c-90a6-2d3ddfe1ccba · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks.

Motif 3: Technical Report Muon: An optimizer for hidden layers in neural networks

Reference 28

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raw_fallback, observed 2026-08-11T23:12:12.562956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:09.967546Z digest=sha256:35dba3a0c73559eddc9ed2a13ac7734b0da9c049efb683e3a7245ef18a087216

Observation 03783b4a-ceea-4732-92b8-3b051137d883 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Motif 3: Technical Report Kimi K2: Open Agentic Intelligence

Reference 29

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source=pdf_text observed=2026-08-11T23:12:09.972456Z digest=sha256:12d709f9b7dd706a8f7561769a54b5aa2f95c78806ee6a7e340a92e3a948775f

Observation 0e065b7b-3567-4d23-a895-c6ee4e169766 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

Motif 3: Technical Report Kimi K2.5: Visual Agentic Intelligence

Reference 30

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source=pdf_text observed=2026-08-11T23:12:09.977432Z digest=sha256:58cd45713b0340d5bc8dd3a3d36635a355e4197950c2b3743cb0b2e92457c3e1

Observation 0071cf32-e991-49d1-bede-73c3b89a0af7 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Motif 3: Technical Report Gonzalez, Hao Zhang, and Ion Stoica

Reference 31

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source=pdf_text observed=2026-08-11T23:12:09.982830Z digest=sha256:7d104237fd6d088b747299afd859b71dba4d52f8e5592e26b73bc1603f77b540

Observation 8ca5d116-f7fb-4b0d-90d6-2ac85455ca3e · outbound

This paper cites TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training.

Motif 3: Technical Report TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 32

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source=pdf_text observed=2026-08-11T23:12:09.988368Z digest=sha256:8bf2b24d6d90a528c726de38598bdb12384a584b0694da543b6d08d8797807bb

Observation 4e3c003a-1cc6-4aa6-bfa8-fc59fbd83a1d · outbound

This paper cites Motif 2 12.7b technical report.arXiv preprint arXiv:2511.07464, 2025.

Motif 3: Technical Report Motif 2 12.7b technical report.arXiv preprint arXiv:2511.07464, 2025

Reference 33

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T23:12:09.993766Z digest=sha256:1636952565421710f02a8472ff7a3b773f9cbe837197f8012c9da87a1a054546

Observation 01144cd2-f180-4711-8d7e-67887affa96e · outbound

This paper cites Every step evolves: Scaling reinforcement learning for trillion-scale thinking model.arXiv preprint arXiv:2510.18855, 2025.

Motif 3: Technical Report Every step evolves: Scaling reinforcement learning for trillion-scale thinking model.arXiv preprint arXiv:2510.18855, 2025

Reference 34

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source=pdf_text observed=2026-08-11T23:12:09.998809Z digest=sha256:72ec32a7f9f2ebfaf642789b7fcc33c777275d1ddf082b920a6ad3b4e2ea1f4f

Observation 194d245f-806a-4e4b-aa45-421f97a75a4c · outbound

This paper cites SuperBPE: Space Travel for Language Models.

Motif 3: Technical Report SuperBPE: Space Travel for Language Models

Reference 35

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no resolver link, observed 2026-08-11T23:12:10.004036Z

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source=pdf_text observed=2026-08-11T23:12:10.004036Z digest=sha256:597f60c16086697be893cbc5c1b8295760a055f0896c07dc6c590739a591df15

Observation 62623cfa-e887-45df-be92-d580fb9462ee · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

Motif 3: Technical Report Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 36

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source=pdf_text observed=2026-08-11T23:12:10.009526Z digest=sha256:5b4bd44975f9f76aea2d1cd36276e7e89e3fb46bbbb635125aa305c64ba3f029

Observation cb7fa046-b61b-45ad-9634-2c906667a580 · outbound

This paper cites Muon is Scalable for LLM Training.

Motif 3: Technical Report Muon is Scalable for LLM Training

Reference 37

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T23:12:10.014334Z digest=sha256:e0905351266b71818d3c01143bec8c7cce4d0bb187acf78ccfe6ff5c5b68cf97

Observation cd137cd5-4779-4fa2-9e77-d3ebc0ac8e99 · outbound

This paper cites Towards robust mathematical reasoning.

Motif 3: Technical Report Towards robust mathematical reasoning

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.019631Z digest=sha256:67632bcb44d3a161575b4f7018090e0a19386091a2e126b30cd6f4771a2be23a

Observation 638ea282-a2b2-4fbd-8cc9-111502ca2e14 · outbound

This paper cites Terminal-bench: Benchmarking agents on hard, realistic tasks in command line interfaces.

Motif 3: Technical Report Terminal-bench: Benchmarking agents on hard, realistic tasks in command line interfaces

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.523344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.024237Z digest=sha256:02b7e3ef9e53ba29940f28956b9a07028abee3dfbba4c25d399192e821991f70

Observation b5f5423a-0c9f-4548-9faa-4ef49be4751d · outbound

This paper cites Recipes for Pre-training LLMs with MXFP8.

Motif 3: Technical Report Recipes for Pre-training LLMs with MXFP8

Reference 40

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no resolver link, observed 2026-08-11T23:12:10.029200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.029200Z digest=sha256:66d884c2651ca91715de5c757e14b89755f38ed0f827b6c21473b5ec5338de17

Observation c9449845-72c5-4ff1-a580-2de88c5682c9 · outbound

This paper cites Jordan, and Ion Stoica.

Motif 3: Technical Report Jordan, and Ion Stoica

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.504267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.034216Z digest=sha256:157288da611bbac36591e1966aea2ae8a12e7a4dc84be619942e0b79e079299d

Observation 65642ad7-ac59-48e1-bfc5-1ace938c1f21 · outbound

This paper cites Motif 3 training example.

Motif 3: Technical Report Motif 3 training example

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.482443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.039368Z digest=sha256:7610de960f566d99e26dbc581a14542f8bee5524a04237627bfaf205b048a0d5

Observation 2f79ac33-eac1-4e0d-893a-0f71b3cbd299 · outbound

This paper cites Scalable training of mixture-of-experts models with megatron core.arXiv preprint arXiv:2603.07685, 2026.

Motif 3: Technical Report Scalable training of mixture-of-experts models with megatron core.arXiv preprint arXiv:2603.07685, 2026

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.044081Z digest=sha256:5e7a74d58be63390f201819f36ec2e294fd442f403c69a427b8d61e0cc6789e4

Observation c69914e2-01a5-4b36-9d00-c8d3757c2d83 · outbound

This paper cites Nemotron post-training v3.

Motif 3: Technical Report Nemotron post-training v3

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.462590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.048895Z digest=sha256:3e5bd7ec2f5e73229db15850726fa11f0a0a56767344c672e6d53ce3325db847

Observation bf27e2ef-21f7-4b22-b3ca-33a0ed3e5e65 · outbound

This paper cites Nemotron pre-training datasets.

Motif 3: Technical Report Nemotron pre-training datasets

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.443282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.053750Z digest=sha256:e9137459dc0c27b262137034332d16f1b663c151913f0a9085697cce2ca9027b

Observation f06151ac-f6c9-46e6-88f2-f881a7c2196c · outbound

This paper cites NeMo Gym: Environments for evaluating and improving models and agents.

Motif 3: Technical Report NeMo Gym: Environments for evaluating and improving models and agents

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.425302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.058846Z digest=sha256:e64e731935c43c2bc88449bc15bf4a87286c60f331da316f7ec6c34a8a1ed49c

Observation 6ee8c42a-f812-4fe4-a905-c26b76c62e5c · outbound

This paper cites NeMo RL: A scalable and efficient post-training library.

Motif 3: Technical Report NeMo RL: A scalable and efficient post-training library

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.406166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.063668Z digest=sha256:a7034bb581b2d4d949fc8686feb940b5374e034a9893c844faf560e925f56f51

Observation 4f0b6eab-fa09-42d0-8eee-4c506f806ed5 · outbound

This paper cites Nemotron 3 Ultra: Open, efficient mixture-of-experts hybrid mamba-transformer model for agentic reasoning.arXiv preprint arXiv:2606.15007, 2026.

Motif 3: Technical Report Nemotron 3 Ultra: Open, efficient mixture-of-experts hybrid mamba-transformer model for agentic reasoning.arXiv preprint arXiv:2606.15007, 2026

Reference 48

Resolution
verified exact
doi, observed 2026-08-11T23:12:10.634258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.068239Z digest=sha256:00105c8225ac59c01f801b74031497416bf0b056205d056957e3c3f32b5f8607

Observation cce1f40d-086c-48e6-b247-19cfc96c0975 · outbound

This paper cites gpt-oss: Reference implementations for gpt-oss-120b and gpt-oss-20b.

Motif 3: Technical Report gpt-oss: Reference implementations for gpt-oss-120b and gpt-oss-20b

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.386399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.073048Z digest=sha256:d1bd5be71d76403569df4634e6d0c44e685905acd238ca888c24af92c5e7ee16

Observation 0e720d45-4fbf-4372-ba4a-9280a982f235 · outbound

This paper cites TorchAO: PyTorch-native training-to-serving model optimization.ICML Workshop on Championing Open-source Development, 2025.

Motif 3: Technical Report TorchAO: PyTorch-native training-to-serving model optimization.ICML Workshop on Championing Open-source Development, 2025

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.348690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.088862Z digest=sha256:da4dd1d13f9a66189fd8800b6da8eb4fd9553e8cc381f928d2b4c495ca9acabd

Observation 5bd55e93-7cab-4b2f-9add-de6afb2e3fe8 · outbound

This paper cites Gdpval: Evaluating ai model performance on real-world economically valuable tasks.

Motif 3: Technical Report Gdpval: Evaluating ai model performance on real-world economically valuable tasks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.331577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.095075Z digest=sha256:c6898e4a6c9f87de685d44fab442aea8506f25bbdbd5d565ac54f5f9af9f2b97

Observation 8d7537e0-6840-4ccc-b39f-3756a90d6595 · outbound

This paper cites Humanity's Last Exam.

Motif 3: Technical Report Humanity's Last Exam

Reference 52

Resolution
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no resolver link, observed 2026-08-11T23:12:10.100397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.100397Z digest=sha256:b94099ea9482556aead826c878a2d8e8a90817c791f849c5f04c1af70197cdde

Observation 658b672c-b141-44bc-8c72-634020f74e42 · outbound

This paper cites On data engineering for scaling llm terminal capabilities, 2026.

Motif 3: Technical Report On data engineering for scaling llm terminal capabilities, 2026

Reference 53

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no resolver link, observed 2026-08-11T23:12:10.105901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.105901Z digest=sha256:10db0da0e24f3926224dfdc78d8029e7c11ed6248ab1e75ac65642c05ec842c0

Observation 130bbe81-6b5c-4f1b-82c2-3a8874152cdf · outbound

This paper cites Generalizing verifiable instruction following.Advances in Neural Information Processing Systems, 38, 2025.

Motif 3: Technical Report Generalizing verifiable instruction following.Advances in Neural Information Processing Systems, 38, 2025

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.315765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.110791Z digest=sha256:99ed6cd2372c87a8531ef9c39d4a96b59f3246ac1390434761f9f4a9ee1558aa

Observation 9f3b0e17-5fb2-4950-8600-2c48208ebd01 · outbound

This paper cites Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free.

Motif 3: Technical Report Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Reference 55

Resolution
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no resolver link, observed 2026-08-11T23:12:10.115800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.115800Z digest=sha256:ab380aacce6b36174ef3ce3c4cc7bbef13a78df04c1a2ab76b259045516beec5

Observation 590e99df-d25f-49e7-84fc-51ee9d765e66 · outbound

This paper cites A unified view of attention and residual sinks: Outlier-driven rescaling is essential for transformer training.arXiv preprint arXiv:2601.22966, 2026.

Motif 3: Technical Report A unified view of attention and residual sinks: Outlier-driven rescaling is essential for transformer training.arXiv preprint arXiv:2601.22966, 2026

Reference 56

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no resolver link, observed 2026-08-11T23:12:10.128680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.128680Z digest=sha256:143c4ce45b3a7f5249c4c7b2ba7cb8a445168def36d4c88259cd87ccc39f794b

Observation fc397ad8-5560-48ee-88ca-4c6fcab0ce3c · outbound

This paper cites Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free.

Motif 3: Technical Report Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Reference 57

Resolution
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no resolver link, observed 2026-08-11T23:12:10.121953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.121953Z digest=sha256:0d7bcdb81c21d967a17f04cb53dc8536dd08fd1ab6fc8274b3650b039b2ef6d0

Observation 01c20e77-eb16-4dc3-a761-18865c2bea1d · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Motif 3: Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 58

Resolution
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no resolver link, observed 2026-08-11T23:12:10.138847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.138847Z digest=sha256:089b2e06d17087439d3bc16b41d8cef8d19c2cb4b827ed4856c7f2b366094e95

Observation 07f3b8d8-1fb7-46bb-8a01-8fd87e5e148a · outbound

This paper cites Qwen3-Next: Towards ultimate training and inference efficiency.https://qwen.ai/ blog?id=4074cca80393150c248e508aa62983f9cb7d27cd, September 2025.

Motif 3: Technical Report Qwen3-Next: Towards ultimate training and inference efficiency.https://qwen.ai/ blog?id=4074cca80393150c248e508aa62983f9cb7d27cd, September 2025

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.299158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.133972Z digest=sha256:3d245a0005f4f65b826f0a88505fdcccd8ca8f6dc507b7008f3f2e3bc256c5f8

Observation 90de544c-c905-4a0a-bdc2-63e3b7083dfd · outbound

This paper cites WinoGrande: An adver- sarial winograd schema challenge at scale.Proceedings of the AAAI Conference on Artificial Intelligence, 2020.

Motif 3: Technical Report WinoGrande: An adver- sarial winograd schema challenge at scale.Proceedings of the AAAI Conference on Artificial Intelligence, 2020

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.281957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.149664Z digest=sha256:972b680223b49ea858a2868cd630c82cd1910c2253b4b6b6337607b400383b56

Observation 88f16c11-468e-465d-97e0-d854675b5a6f · outbound

This paper cites Microscaling Data Formats for Deep Learning.

Motif 3: Technical Report Microscaling Data Formats for Deep Learning

Reference 61

Resolution
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no resolver link, observed 2026-08-11T23:12:10.143929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.143929Z digest=sha256:b86a28907411cd7922075faeadac93c627cb100494693a05dff51cb4d2618f0f

Observation 565090d2-b164-4bfe-b451-899deedc8326 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Motif 3: Technical Report RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 62

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no resolver link, observed 2026-08-11T23:12:10.165525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.165525Z digest=sha256:0a13c3a5befc57aca669069e3b01eda6d0cce566e282a73995bdd5f28b244518

Observation 48333d04-8b1c-4600-a18e-41b7daa79b4e · outbound

This paper cites τ-knowledge: Evaluating conversational agents over unstructured knowledge.arXiv preprint arXiv:2603.04370,.

Motif 3: Technical Report τ-knowledge: Evaluating conversational agents over unstructured knowledge.arXiv preprint arXiv:2603.04370,

Reference 63

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no resolver link, observed 2026-08-11T23:12:10.154236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.154236Z digest=sha256:2eb03c30a394e633bd4c63890663b043ea2c8edee603717fd6d33442ceb16bd9

Observation 3e4ebf87-4881-4c90-a692-b24580d2b981 · outbound

This paper cites Scicode: A research coding benchmark curated by scientists.

Motif 3: Technical Report Scicode: A research coding benchmark curated by scientists

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.263876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.177476Z digest=sha256:ad2d5bf1bf7e9b5d9f4bead03fcc91f322beca62cae2fcb765a8a9f856dab273

Observation 04c7a0ca-2322-4b10-8f51-e40767904f10 · outbound

This paper cites Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts.

Motif 3: Technical Report Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Reference 65

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no resolver link, observed 2026-08-11T23:12:10.183916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.183916Z digest=sha256:611c8fda9cdac2f9ce122ed00797f89211b4d9fa264e39cbbd2ce5eb094eaadd

Observation 51eec268-e592-44dc-924e-ce6a116d184f · outbound

This paper cites Grouped differential attention.arXiv preprint arXiv:2510.06949, 2025.

Motif 3: Technical Report Grouped differential attention.arXiv preprint arXiv:2510.06949, 2025

Reference 66

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no resolver link, observed 2026-08-11T23:12:10.171334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.171334Z digest=sha256:8716583720f37f7f79f0c0369dfbdfa1b6f5fde387a4bb1bb882be6486e2b985

Observation 5a88bcdc-bf30-4dce-bd24-8813af3a57db · outbound

This paper cites MiMo-V2-Flash Technical Report.

Motif 3: Technical Report MiMo-V2-Flash Technical Report

Reference 67

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unresolved
no resolver link, observed 2026-08-11T23:12:10.194310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.194310Z digest=sha256:a4f250f9a84c4aafcf97609286534c90aba8665fe8a703eb5b55a35dd37a952d

Observation 56d9fe3b-f351-46a0-98fe-19a3e70a3d33 · outbound

This paper cites mHC: Manifold-Constrained Hyper-Connections.

Motif 3: Technical Report mHC: Manifold-Constrained Hyper-Connections

Reference 68

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no resolver link, observed 2026-08-11T23:12:10.200467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.200467Z digest=sha256:44b485ecf807c581b1094ff238a561a9d5c878232b9438772933c01682dbb609

Observation 4283f41e-ee27-4cf0-a41e-cf74fe4107e5 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Motif 3: Technical Report MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 69

Resolution
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no resolver link, observed 2026-08-11T23:12:10.189128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.189128Z digest=sha256:761088fa499df6bb5d822ab5a103b1bf3c1fa627e06e3918c293119c66307161

Observation ffd0b996-51c0-41a8-8970-e8ca0bcbc285 · outbound

This paper cites Differential Transformer.

Motif 3: Technical Report Differential Transformer

Reference 70

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unresolved
no resolver link, observed 2026-08-11T23:12:10.212539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.212539Z digest=sha256:d39335ad399b46b7013bd01db99097d7f7ad272c3a6760c1fbdc6f9ae5ffd3a2

Observation cb82c6f1-1220-44de-9e27-cfd765db5d69 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Motif 3: Technical Report DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 71

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unresolved
no resolver link, observed 2026-08-11T23:12:10.219549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.219549Z digest=sha256:59c5bb5d88363d1c18eee64fa38701e89ac9cc79b905fdb6bb29a44e42d92dcc

Observation 45f55783-e7a0-4d88-ac15-aff26dbe55d6 · outbound

This paper cites Qwen3 Technical Report.

Motif 3: Technical Report Qwen3 Technical Report

Reference 72

Resolution
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no resolver link, observed 2026-08-11T23:12:10.206551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.206551Z digest=sha256:822e4997b3bbd7aad9fdf9d1fae75e04b57ffdaec09b49ce2205f7418b3ff1af

Observation c6ae2597-b3ff-49f5-8d85-f660c0340cbf · outbound

This paper cites HellaSwag: Can a machine really finish your sentence?Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019.

Motif 3: Technical Report HellaSwag: Can a machine really finish your sentence?Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.247609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.232283Z digest=sha256:c830c3a0a2601f83101ee2263ab681c4ab016be7a73f2e63bd9f87723e4c4326

Observation ce6ea7e8-7939-4eb5-aabb-4d35bab167b3 · outbound

This paper cites Root Mean Square Layer Normalization.

Motif 3: Technical Report Root Mean Square Layer Normalization

Reference 74

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no resolver link, observed 2026-08-11T23:12:10.237953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.237953Z digest=sha256:780a7f42fd041a6ef979dd8e2a094fcf4da8420535b2d542cf87f928ae1c7b68

Observation be72b3b2-2e39-439b-a457-401f577ca6fc · outbound

This paper cites FlashAttention-4: Algorithm and kernel pipelining co-design for asymmetric hardware scaling.

Motif 3: Technical Report FlashAttention-4: Algorithm and kernel pipelining co-design for asymmetric hardware scaling

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T23:12:10.226491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.226491Z digest=sha256:867e3e8154234e7c979c81d4c0207e16ce1d7ebf30996a6e0e11a821e22eb43b

Observation ddf7eaa0-a3fb-4bf7-a84c-d0a9f0a7c522 · outbound

This paper cites Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark.

Motif 3: Technical Report Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T23:12:10.251313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:12:10.251313Z digest=sha256:3e8fc4d889ec8c2b8fa082023455bf095237b47be84f3d733a021a10b7d46256

Observation 742f5b50-d7ae-4c5e-941d-5c718e20fb1f · outbound

This paper cites [ˆ\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]*[\p{Ll}\p{Lm}\p{Lo}\p{M}]+.

Motif 3: Technical Report [ˆ\r\n\p{L}\p{N}]?[\p{Lu}\p{Lt}\p{Lm}\p{Lo}\p{M}]*[\p{Ll}\p{Lm}\p{Lo}\p{M}]+

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.213039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.257064Z digest=sha256:a8b1f5e45fd83f24e5e9621560e2992b5ea55bb00d7b004b692ee990abf8a345

Observation 090c824f-4a9c-472a-92ff-8136d99e22bb · outbound

This paper cites Gonzalez, Clark Barrett, and Ying Sheng.

Motif 3: Technical Report Gonzalez, Clark Barrett, and Ying Sheng

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:12:12.229861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.244630Z digest=sha256:01355cadaffaf67b1101f1bf4f86c9b7045d34aad7bf779498a089f944a2f5d3

Observation e207c589-2198-4d99-bb29-b737b23e5835 · outbound

This paper cites an unresolved cited work.

Motif 3: Technical Report Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:12:12.365678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.078240Z digest=sha256:14a4d361806bc22069fac34092de520aab59788fcaf905c2d8127f013e61a987

Observation c73b670a-145d-4993-b16a-88cb5e224723 · outbound

This paper cites an unresolved cited work.

Motif 3: Technical Report Unresolved cited work

Reference 2026

Resolution
verified exact
doi, observed 2026-08-11T23:12:10.523657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T23:12:10.159635Z digest=sha256:e4384f7714779bd38a9e6fc104d6a7894f3798107be31da60a6e7ea45100391f

Pith citing papers

No inbound Pith citation observations are available.