Paper Citation Record · LEDGER

Evaluating Large Language Models Trained on Code

As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 100 inbound Pith citation observations for arXiv:2107.03374.

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

pith.paper-citation-record.v1
2107.03374 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 122 of 122 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 100 of 2282 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

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

22 of 22 outbound references displayed

verified exact1
verified fuzzy18
unresolved0
parse uncertain1
malformed identifier0
metadata mismatch2

External citation measurements

1427
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6775eca7-a7e3-4cf9-b02b-b213ab340f21 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

Evaluating Large Language Models Trained on Code wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:24:27.750093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c79fa98-a5a9-4777-9499-944352cfa36b · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Evaluating Large Language Models Trained on Code Generating Long Sequences with Sparse Transformers

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T12:24:27.756592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 091eb877-cb95-4ef3-9bab-7174aa259756 · outbound

This paper cites Clarkson, M.

Evaluating Large Language Models Trained on Code Clarkson, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.748305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62706afc-d190-49d0-a0d6-d3a3bb9ae4d1 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Evaluating Large Language Models Trained on Code BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T12:24:27.258661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db5c3b46-2d3f-4b2f-ac9d-447c9c050d76 · outbound

This paper cites an unresolved cited work.

Evaluating Large Language Models Trained on Code Unresolved cited work

Reference 5

Resolution: parse uncertain; raw_fallback, observed 2026-05-24T12:26:12.742901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fcff2c7-3515-48fb-8c92-f5a2c60e3e84 · outbound

This paper cites Number of elements are less than k.

Evaluating Large Language Models Trained on Code Number of elements are less than k

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.738653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34ff45a2-277d-4626-996f-3099c9723d85 · outbound

This paper cites "" ### COMPLETION 1 (WRONG): ### return x if n % x == 0 else y ### COMPLETION 2 (WRONG): ### if n > 1: return x if n%2 != 0 else y else: return.

Evaluating Large Language Models Trained on Code "" ### COMPLETION 1 (WRONG): ### return x if n % x == 0 else y ### COMPLETION 2 (WRONG): ### if n > 1: return x if n%2 != 0 else y else: return

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.733868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 848189d2-094e-41f1-824f-8b42eec8b8b7 · outbound

This paper cites remove all instances of the letter e from the string.

Evaluating Large Language Models Trained on Code remove all instances of the letter e from the string

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.729768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ada604cf-f260-47ec-8b10-c2e892e17738 · outbound

This paper cites replace all spaces with exclamation points in the string.

Evaluating Large Language Models Trained on Code replace all spaces with exclamation points in the string

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.725434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 666f331c-d1e6-40ff-a969-95deaf213e16 · outbound

This paper cites convert the string s to lowercase.

Evaluating Large Language Models Trained on Code convert the string s to lowercase

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.722332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b3cb82b-438f-4526-9b40-14faeb483442 · outbound

This paper cites remove the ﬁrst and last two characters of the string.

Evaluating Large Language Models Trained on Code remove the ﬁrst and last two characters of the string

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.784357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c13ab40a-4630-4b7d-8e62-b24d5e35edaf · outbound

This paper cites removes all vowels from the string.

Evaluating Large Language Models Trained on Code removes all vowels from the string

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.780369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 207afd72-1ae0-4b41-bf1c-141de88ec2bc · outbound

This paper cites remove every third character from the string.

Evaluating Large Language Models Trained on Code remove every third character from the string

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.776285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 538c5d86-d1f0-4171-8b32-492f2e72f9ef · outbound

This paper cites drop the last half of the string, as computed by char- acters.

Evaluating Large Language Models Trained on Code drop the last half of the string, as computed by char- acters

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.772880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0970941c-eeda-48cc-8922-9bea0310597d · outbound

This paper cites replace spaces with triple spaces.

Evaluating Large Language Models Trained on Code replace spaces with triple spaces

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.769451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd7e41d6-b3c5-44a9-9338-36224d03dadc · outbound

This paper cites reverse the order of words in the string.

Evaluating Large Language Models Trained on Code reverse the order of words in the string

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.766230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab3777a8-d2c2-4ca3-8f0f-7bd8d4a6e78a · outbound

This paper cites drop the ﬁrst half of the string, as computed by num- ber of words.

Evaluating Large Language Models Trained on Code drop the ﬁrst half of the string, as computed by num- ber of words

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.762741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3370eca5-4706-4b28-bd92-49941edc7f38 · outbound

This paper cites add the word apples after every word in the string.

Evaluating Large Language Models Trained on Code add the word apples after every word in the string

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.759477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7d4dd1f-1f8f-4d10-b25a-efdfc37df6d1 · outbound

This paper cites make every other character in the string uppercase.

Evaluating Large Language Models Trained on Code make every other character in the string uppercase

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.755772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2558f076-28ad-4cd5-bb74-1da50af953fb · outbound

This paper cites delete all exclamation points, question marks, and periods from the string.

Evaluating Large Language Models Trained on Code delete all exclamation points, question marks, and periods from the string

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.752040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4652fab6-c693-4529-b937-a0249be20f49 · outbound

This paper cites When the prompt includes subtle bugs, Codex tends to produce worse code than it is capable of producing.

Evaluating Large Language Models Trained on Code When the prompt includes subtle bugs, Codex tends to produce worse code than it is capable of producing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.747674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8eb67d4b-80ac-40f0-ba59-a3948cb7a762 · outbound

This paper cites 10") 10 >>> closest_integer(.

Evaluating Large Language Models Trained on Code 10") 10 >>> closest_integer(

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T12:26:12.743176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation ede0bc2b-2c2b-4356-8d5b-574a40ce4c17 · inbound

Measuring Coding Challenge Competence With APPS cites this paper.

Measuring Coding Challenge Competence With APPS Evaluating Large Language Models Trained on Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-11T17:11:36.721130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5fb2b0ab-3cf0-4775-908a-77122bc48125 · inbound

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation cites this paper.

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Evaluating Large Language Models Trained on Code

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-15T11:23:26.392243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8167052a-8ea5-4642-8a92-b2e5c8ed9a2d · inbound

TruthfulQA: Measuring How Models Mimic Human Falsehoods cites this paper.

TruthfulQA: Measuring How Models Mimic Human Falsehoods Evaluating Large Language Models Trained on Code

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T21:48:53.905185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0208c989-8cfd-40fc-b419-10a23a247863 · inbound

Show Your Work: Scratchpads for Intermediate Computation with Language Models cites this paper.

Show Your Work: Scratchpads for Intermediate Computation with Language Models Evaluating Large Language Models Trained on Code

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T00:31:41.587817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eae23089-4d58-44f0-81ef-ef055ca36342 · inbound

A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Evaluating Large Language Models Trained on Code

Reference 218

Resolution: verified exact; local_arxiv, observed 2026-05-11T14:22:59.110008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8f5e8b6-cb14-49b3-874c-93d6f5f17628 · inbound

Ethical and social risks of harm from Language Models cites this paper.

Ethical and social risks of harm from Language Models Evaluating Large Language Models Trained on Code

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-11T18:24:30.010341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9859903a-28f8-4f62-a559-12d723f3133b · inbound

Text and Code Embeddings by Contrastive Pre-Training cites this paper.

Text and Code Embeddings by Contrastive Pre-Training Evaluating Large Language Models Trained on Code

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:24:11.939164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5612270d-b438-4009-bd9a-5f6a12d4b0be · inbound

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Evaluating Large Language Models Trained on Code

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-10T12:54:44.729636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3647d15-340e-40b3-b08b-3b98bd74bf7b · inbound

Quantifying Memorization Across Neural Language Models cites this paper.

Quantifying Memorization Across Neural Language Models Evaluating Large Language Models Trained on Code

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:04:59.704660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 826508b5-3646-4866-85e0-2ffb1d738ed8 · inbound

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language cites this paper.

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language Evaluating Large Language Models Trained on Code

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-16T09:50:00.637885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation adc4bb5e-3c9a-4c4c-9a81-7d17b4343d4c · inbound

PaLM: Scaling Language Modeling with Pathways cites this paper.

PaLM: Scaling Language Modeling with Pathways Evaluating Large Language Models Trained on Code

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-10T23:45:07.121538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5642cd0b-22ab-44dc-99d7-cd88a40cb1ef · inbound

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback cites this paper.

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Evaluating Large Language Models Trained on Code

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:35:55.981926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb5cf1b4-3081-4255-a808-1e9d10bf9771 · inbound

InCoder: A Generative Model for Code Infilling and Synthesis cites this paper.

InCoder: A Generative Model for Code Infilling and Synthesis Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:21:20.482326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9499c658-d77a-413c-9d6e-34664636ef2c · inbound

GPT-NeoX-20B: An Open-Source Autoregressive Language Model cites this paper.

GPT-NeoX-20B: An Open-Source Autoregressive Language Model Evaluating Large Language Models Trained on Code

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-24T12:34:28.341949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2484b4e1-55a9-4e46-88ad-a885fe98a18a · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Evaluating Large Language Models Trained on Code

Reference 293

Resolution: verified exact; local_arxiv, observed 2026-05-10T15:42:48.066073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01a60a53-9413-4c31-ad2c-f6edc4d484ec · inbound

Inner Monologue: Embodied Reasoning through Planning with Language Models cites this paper.

Inner Monologue: Embodied Reasoning through Planning with Language Models Evaluating Large Language Models Trained on Code

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-11T20:10:45.384454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb97fade-0110-464f-970f-bf1335bcdfe2 · inbound

CodeT: Code Generation with Generated Tests cites this paper.

CodeT: Code Generation with Generated Tests Evaluating Large Language Models Trained on Code

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T23:55:14.770594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06c16986-b310-4bc6-955a-669e63512121 · inbound

Efficient Training of Language Models to Fill in the Middle cites this paper.

Efficient Training of Language Models to Fill in the Middle Evaluating Large Language Models Trained on Code

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-05-18T00:40:41.872622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74b0ac66-0753-4936-9023-05fada10f7cc · inbound

Code as Policies: Language Model Programs for Embodied Control cites this paper.

Code as Policies: Language Model Programs for Embodied Control Evaluating Large Language Models Trained on Code

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:38:02.850124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36599aaf-edd3-4eb9-bc9a-94c66fab9273 · inbound

In-context Learning and Induction Heads cites this paper.

In-context Learning and Induction Heads Evaluating Large Language Models Trained on Code

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T03:49:09.865109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d449c4a6-eda1-407a-a4b3-badd8195d43d · inbound

Automatic Chain of Thought Prompting in Large Language Models cites this paper.

Automatic Chain of Thought Prompting in Large Language Models Evaluating Large Language Models Trained on Code

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:39:17.061258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6dccc3fc-f32c-40ab-ab2f-3159e18ec2cb · inbound

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them cites this paper.

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Evaluating Large Language Models Trained on Code

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-11T07:15:23.837037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5181052-74b9-4b62-85b0-888dd0143191 · inbound

Large Language Models Are Human-Level Prompt Engineers cites this paper.

Large Language Models Are Human-Level Prompt Engineers Evaluating Large Language Models Trained on Code

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:43:26.424082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6764f59b-4615-411b-b4e6-a484b474e8fc · inbound

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Evaluating Large Language Models Trained on Code

Reference 216

Resolution: verified exact; local_arxiv, observed 2026-05-12T00:51:11.530545Z

Source-reported events for the cited work

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Observation c3fcae19-54a6-4b3d-9b9f-fab6720b085d · inbound

PAL: Program-aided Language Models cites this paper.

PAL: Program-aided Language Models Evaluating Large Language Models Trained on Code

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:02:50.191110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82c4473d-ed10-4232-b015-4be5bb83161a · inbound

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks cites this paper.

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks Evaluating Large Language Models Trained on Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-12T16:48:28.104925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ec2040a-7fd2-4c63-8284-31f88fc54b0a · inbound

Solving math word problems with process- and outcome-based feedback cites this paper.

Solving math word problems with process- and outcome-based feedback Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T11:14:23.183555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52982979-213a-4ff0-be26-3f435df510de · inbound

Accelerating Large Language Model Decoding with Speculative Sampling cites this paper.

Accelerating Large Language Model Decoding with Speculative Sampling Evaluating Large Language Models Trained on Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-11T07:29:36.316770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47e3fefa-0ee8-4987-8652-9fbb600fda91 · inbound

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents cites this paper.

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents Evaluating Large Language Models Trained on Code

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T03:27:40.697150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecc77b02-af9a-448b-8d25-13668bdbb813 · inbound

ViperGPT: Visual Inference via Python Execution for Reasoning cites this paper.

ViperGPT: Visual Inference via Python Execution for Reasoning Evaluating Large Language Models Trained on Code

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T18:15:14.524122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7eae23b-fb87-4e08-8650-99cff9ad5410 · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models Evaluating Large Language Models Trained on Code

Reference 154

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T19:03:06.260961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c563659-1881-4c50-b6b7-c05579685761 · inbound

Reflexion: Language Agents with Verbal Reinforcement Learning cites this paper.

Reflexion: Language Agents with Verbal Reinforcement Learning Evaluating Large Language Models Trained on Code

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:51:41.983927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1538bedc-91a6-442b-98e7-90d2e42c6447 · inbound

BloombergGPT: A Large Language Model for Finance cites this paper.

BloombergGPT: A Large Language Model for Finance Evaluating Large Language Models Trained on Code

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T23:19:46.618158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2f5eb956-cc35-4f21-b392-fb867a056493 · inbound

Self-Refine: Iterative Refinement with Self-Feedback cites this paper.

Self-Refine: Iterative Refinement with Self-Feedback Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-10T20:47:39.779618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32eca035-f54f-44af-a2e2-d5e3466ffe5e · inbound

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society Evaluating Large Language Models Trained on Code

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-14T01:40:53.549399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7094ea0-7540-476c-9035-18fbb3431e0a · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Evaluating Large Language Models Trained on Code

Reference 107

Resolution: verified exact; local_arxiv, observed 2026-05-10T22:46:39.977136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90bc66e9-a994-42a3-81b1-f11b4bd08253 · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Evaluating Large Language Models Trained on Code

Reference 174

Resolution: verified exact; local_arxiv, observed 2026-05-15T17:45:17.643269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 471a6759-2deb-4cb2-b67d-8222d50fdd44 · inbound

Teaching Large Language Models to Self-Debug cites this paper.

Teaching Large Language Models to Self-Debug Evaluating Large Language Models Trained on Code

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:24:25.019335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef3ea066-0f13-48cd-8186-9dc0bbfc0b41 · inbound

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs cites this paper.

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs Evaluating Large Language Models Trained on Code

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T20:51:41.220201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3142dfeb-939e-48b8-b326-b526bf136cc4 · inbound

Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts cites this paper.

Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts Evaluating Large Language Models Trained on Code

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:44:18.617274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6515b73d-d5ef-4b96-8183-8eef4c086a3a · inbound

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency cites this paper.

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency Evaluating Large Language Models Trained on Code

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-14T18:36:18.618524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6317b66e-5a3f-4d89-9c99-943eaed98f99 · inbound

WizardLM: Empowering large pre-trained language models to follow complex instructions cites this paper.

WizardLM: Empowering large pre-trained language models to follow complex instructions Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-13T07:28:25.033116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f0de9db-4d67-41a8-ad68-edb9b52b77f3 · inbound

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation cites this paper.

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Evaluating Large Language Models Trained on Code

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-14T02:04:17.959701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0565ccb-3356-4837-804b-e3faacff4760 · inbound

CodeT5+: Open Code Large Language Models for Code Understanding and Generation cites this paper.

CodeT5+: Open Code Large Language Models for Code Understanding and Generation Evaluating Large Language Models Trained on Code

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-19T05:26:57.533071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17618bc9-caf6-462c-b5d3-9d1332ad2364 · inbound

PaLM 2 Technical Report cites this paper.

PaLM 2 Technical Report Evaluating Large Language Models Trained on Code

Reference 264

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T11:59:27.436795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6567f0fd-bfbd-4b6f-9153-a723e5876d83 · inbound

Gorilla: Large Language Model Connected with Massive APIs cites this paper.

Gorilla: Large Language Model Connected with Massive APIs Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T23:22:17.241725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d3d2d01-8e4e-49e1-8a9a-d1204b262bbf · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs Evaluating Large Language Models Trained on Code

Reference 61

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T06:54:31.436199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb29a2bb-cb55-4441-bd02-72f755dda231 · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models Evaluating Large Language Models Trained on Code

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:11:41.133871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 112537c4-7ddb-4d52-aa96-e2f4b5222e23 · inbound

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems cites this paper.

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems Evaluating Large Language Models Trained on Code

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-15T22:29:52.601821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4505964-88d7-4bcd-8a49-358f75ddea94 · inbound

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cites this paper.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Evaluating Large Language Models Trained on Code

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-10T18:52:59.155000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ce7a911-ee76-488e-9550-e17528221591 · inbound

Textbooks Are All You Need cites this paper.

Textbooks Are All You Need Evaluating Large Language Models Trained on Code

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-13T04:44:03.201011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea4a1be1-5845-463d-aa61-6400ae1fcd26 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Evaluating Large Language Models Trained on Code

Reference 141

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:28:39.466163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d37fbb32-2122-4138-829c-888fe3e76966 · inbound

Towards General Text Embeddings with Multi-stage Contrastive Learning cites this paper.

Towards General Text Embeddings with Multi-stage Contrastive Learning Evaluating Large Language Models Trained on Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-12T03:33:45.988893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5fa05cf2-719f-4576-b13f-217c51a461fd · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Evaluating Large Language Models Trained on Code

Reference 118

Resolution: verified exact; local_arxiv, observed 2026-05-15T04:03:00.572771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da439efc-6a4a-4058-bf30-485a9a3ea435 · inbound

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

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding Evaluating Large Language Models Trained on Code

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-12T20:22:10.695701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05d46dd0-c7a1-4155-8ad5-65f64a18c6cd · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Evaluating Large Language Models Trained on Code

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:33:44.289372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c3163cb-1430-4a58-b9f6-7db7f94f6a48 · inbound

Textbooks Are All You Need II: phi-1.5 technical report cites this paper.

Textbooks Are All You Need II: phi-1.5 technical report Evaluating Large Language Models Trained on Code

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:18:01.336049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 924c57c6-2071-4f27-aba3-a8b1cca610d9 · inbound

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning cites this paper.

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning Evaluating Large Language Models Trained on Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:46:39.565513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa3293c6-1d77-49e6-addc-9ad3407bc999 · inbound

Efficient Memory Management for Large Language Model Serving with PagedAttention cites this paper.

Efficient Memory Management for Large Language Model Serving with PagedAttention Evaluating Large Language Models Trained on Code

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-12T15:03:07.724048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99d3b1b9-f0be-452d-939a-be6269844720 · inbound

Baichuan 2: Open Large-scale Language Models cites this paper.

Baichuan 2: Open Large-scale Language Models Evaluating Large Language Models Trained on Code

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-24T06:54:03.581478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed5ea7e5-b033-4bab-a875-b2100c4b73a4 · inbound

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models cites this paper.

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models Evaluating Large Language Models Trained on Code

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-13T10:07:53.869141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4eb5ab85-a01b-4997-add8-ade633abde6d · inbound

UltraFeedback: Boosting Language Models with Scaled AI Feedback cites this paper.

UltraFeedback: Boosting Language Models with Scaled AI Feedback Evaluating Large Language Models Trained on Code

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T16:41:29.153815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 486b472f-e689-4023-a6aa-ae37e5da4134 · inbound

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs cites this paper.

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs Evaluating Large Language Models Trained on Code

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-05-17T11:11:21.701115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1670ac2a-2c7c-447a-b2de-eefb37389b0c · inbound

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models cites this paper.

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models Evaluating Large Language Models Trained on Code

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T23:26:04.484065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c43e08e5-d1d3-4a8a-b658-9a665e2ca7be · inbound

Mistral 7B cites this paper.

Mistral 7B Evaluating Large Language Models Trained on Code

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-24T06:14:00.083241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b5da458-943f-4ea4-8ff2-cbceb8884217 · inbound

Instruction-Following Evaluation for Large Language Models cites this paper.

Instruction-Following Evaluation for Large Language Models Evaluating Large Language Models Trained on Code

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:36:00.954215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0fb12c4d-9e66-4641-819d-85b575b9fb02 · inbound

GAIA: a benchmark for General AI Assistants cites this paper.

GAIA: a benchmark for General AI Assistants Evaluating Large Language Models Trained on Code

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-05-12T15:46:03.458328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86df73b4-9a1e-4a98-b88a-513abe34604e · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Evaluating Large Language Models Trained on Code

Reference 258

Resolution: verified exact; local_arxiv, observed 2026-05-16T09:46:10.030820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2aea54e5-25c2-4a7b-92f2-0b9db08103a8 · inbound

Gemini: A Family of Highly Capable Multimodal Models cites this paper.

Gemini: A Family of Highly Capable Multimodal Models Evaluating Large Language Models Trained on Code

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:03:55.449843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 392b939c-156e-4b0a-b9b7-a620cad38e2b · inbound

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation cites this paper.

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation Evaluating Large Language Models Trained on Code

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T03:58:45.905016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16881213-f8ee-4503-97ac-bbe7fe8677cb · inbound

AppAgent: Multimodal Agents as Smartphone Users cites this paper.

AppAgent: Multimodal Agents as Smartphone Users Evaluating Large Language Models Trained on Code

Reference 76

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T10:16:43.924142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6796b5b-97de-47ea-9eff-ceb1d1ecc1fb · inbound

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism cites this paper.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T06:08:05.947264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8837baa4-7275-4218-9361-69eb425cd406 · inbound

Mixtral of Experts cites this paper.

Mixtral of Experts Evaluating Large Language Models Trained on Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:13:53.749937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34f954ac-2378-40c7-b8f0-952895f46ceb · inbound

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models cites this paper.

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models Evaluating Large Language Models Trained on Code

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T22:50:11.045598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c213a35c-e268-4bec-a6db-a6046d8994d7 · inbound

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads cites this paper.

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads Evaluating Large Language Models Trained on Code

Reference 126

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T10:36:18.334337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 43f51345-189e-4143-afc2-1be62d58aca8 · inbound

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

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence Evaluating Large Language Models Trained on Code

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-10T17:26:38.844119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a71d9742-1d95-49b4-8097-036a2ab81432 · inbound

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty cites this paper.

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty Evaluating Large Language Models Trained on Code

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:15:49.360849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 19c9ef4a-20ee-4e15-978b-e790df07fbf1 · inbound

KTO: Model Alignment as Prospect Theoretic Optimization cites this paper.

KTO: Model Alignment as Prospect Theoretic Optimization Evaluating Large Language Models Trained on Code

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-12T12:17:53.503196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 278ac788-5422-4d60-a9ab-f9e4c9134f90 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Evaluating Large Language Models Trained on Code

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:58:51.466709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation da414c94-9568-468d-9a03-b31188e6f4a0 · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey Evaluating Large Language Models Trained on Code

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-13T18:12:57.662687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 699fccd2-077e-417f-8499-5ee20b57a0c9 · inbound

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models cites this paper.

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:23:49.630828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6709153-ff5b-481d-99be-d9fb52509ddc · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Evaluating Large Language Models Trained on Code

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:22:54.959354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa7b790d-53b2-4273-8abe-1a9e95f6fe11 · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Evaluating Large Language Models Trained on Code

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:02:53.833214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97f96a46-0a2e-4bdf-975e-a3427da73404 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Evaluating Large Language Models Trained on Code

Reference 178

Resolution: verified exact; local_arxiv, observed 2026-05-12T17:28:22.902602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3090d910-ae40-4419-89ad-3daa61d6b655 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey Evaluating Large Language Models Trained on Code

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-15T13:32:17.284337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40cef2d6-289a-462e-bf7e-66a1147d7f6e · inbound

Yi: Open Foundation Models by 01.AI cites this paper.

Yi: Open Foundation Models by 01.AI Evaluating Large Language Models Trained on Code

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:47:27.821452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c386a1a3-9b7d-4d51-83e2-b0868df0439d · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Evaluating Large Language Models Trained on Code

Reference 249

Resolution: verified exact; local_arxiv, observed 2026-05-10T17:34:42.880437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfae1096-f9d7-4dd2-a0a3-620d0a9f95f6 · inbound

Gemma: Open Models Based on Gemini Research and Technology cites this paper.

Gemma: Open Models Based on Gemini Research and Technology Evaluating Large Language Models Trained on Code

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-10T15:54:09.024442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 699041f8-d3d4-4e55-a540-635c8858ca67 · inbound

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair cites this paper.

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair Evaluating Large Language Models Trained on Code

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-19T10:22:16.561582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fd78022a-b462-4c63-9b6c-e89b5843aa7b · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report Evaluating Large Language Models Trained on Code

Reference 191

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T11:44:38.308805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02139f0a-55b8-4909-bfc4-901f25b862aa · inbound

Jamba: A Hybrid Transformer-Mamba Language Model cites this paper.

Jamba: A Hybrid Transformer-Mamba Language Model Evaluating Large Language Models Trained on Code

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-13T14:11:27.193672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8b9e1a8-b2e7-43ed-85cb-27d49b46c16f · inbound

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation cites this paper.

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation Evaluating Large Language Models Trained on Code

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-24T02:23:46.128748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b3b96ea-2cd0-4073-8d08-9f28f1020137 · inbound

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Evaluating Large Language Models Trained on Code

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-13T18:00:53.440386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d430552-d115-4ebb-9305-7448586a8337 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models Evaluating Large Language Models Trained on Code

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-24T02:15:55.529980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07ef32fc-0e55-4c63-95a6-257ed1fefc4f · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Evaluating Large Language Models Trained on Code

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:39:33.320470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ef9dcd8-8003-41ee-bb8f-2402bdfc3d81 · inbound

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning cites this paper.

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning Evaluating Large Language Models Trained on Code

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:21:57.919153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6649110d-78d1-477a-b3b6-ee9a4fc1006d · inbound

Better & Faster Large Language Models via Multi-token Prediction cites this paper.

Better & Faster Large Language Models via Multi-token Prediction Evaluating Large Language Models Trained on Code

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-16T12:26:09.825106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b4d7b31-7be9-435f-bf76-02761533340a · inbound

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

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model Evaluating Large Language Models Trained on Code

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T05:36:26.993658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6692694d-d432-4fa5-99a5-fb7d40a69996 · inbound

Lessons from the Trenches on Reproducible Evaluation of Language Models cites this paper.

Lessons from the Trenches on Reproducible Evaluation of Language Models Evaluating Large Language Models Trained on Code

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T18:44:49.699022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a5ca1a7-5fb6-4eed-951a-31f158165c7b · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation Evaluating Large Language Models Trained on Code

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-13T20:18:06.481204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.