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Paper Citation Record · LEDGER

CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2305.02309.

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

pith.paper-citation-record.v1
2305.02309 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:27:55.849826Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:18:32.748914Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9bd0ffbe-6601-4db9-8dd5-70d3e4f11f37 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 99

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:46:39.843832Z

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.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:a15ea67cd3f92b6db087044e2551bac8c871aa8d546f17032afc3c3e63abb023

Observation 2f69b74c-aa70-4417-922e-22635470c073 · inbound

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

Gorilla: Large Language Model Connected with Massive APIs CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:22:17.389671Z

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.

source=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:34880a3694d9e9bafa361fb1f3a077a8853f72a49c12c8579bb930c3a866e512

Observation 2a99496b-1333-4284-a029-e38eaa8a958e · inbound

Textbooks Are All You Need cites this paper.

Textbooks Are All You Need CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:44:03.252112Z

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.

source=pdf_text observed=2026-05-13T04:44:03.148223Z digest=sha256:fe05a70cb36d69a5d6205a2adecfbbde65acff1497cdff0e85385553b47d5499

Observation 3dd1a7a0-c80d-4e6b-82ea-4f8eb51f2d7d · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 113

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:22:55.476246Z

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.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:356c5f04834adc55b76046f92e0cfceddf8e7eafe86b08f6b1dbde2e4b0ffdec

Observation 913a1198-1681-400f-a12d-5fc341c19804 · inbound

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

A Survey on Large Language Models for Code Generation CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 196

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.517384Z

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.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:613d6d8f4b788edd640791b13cd539163599c688482cbbae2ca6fcaf8938b163

Observation f006770e-c09a-462f-8dac-c82957f11475 · inbound

EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse cites this paper.

EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T13:27:55.849826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:27:55.849826Z digest=sha256:f2ab75cdad5365527cb177bce498d68d68cb9601057acfe45d9c22767f1634fa

Observation 2aa6af1f-2dd8-4a58-85e3-8c28c2de61bb · inbound

Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement Learning cites this paper.

Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement Learning CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:19.992128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:19.992128Z digest=sha256:139c9ba50a1082cbd4af40c4b1d99a9fd43aec7562fc2b5a3c1ca0a0841c004b

Observation 9b434580-6308-4ca2-bfce-caa12580aa8b · inbound

LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation cites this paper.

LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T04:37:15.092070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:37:15.092070Z digest=sha256:e3b3f29fa40e9c8cd7aecb7c0c0fa03ef4a55db19c6a6b14a6455b6e0a73df3b

Observation a4c3e5f5-a8c7-4a92-91d8-7bae60c8462d · inbound

Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones cites this paper.

Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:38.275531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:38.275531Z digest=sha256:9a472695e80c6300295074eae4b7aa57a141a357ba8f1ef289764d3647b38944

Observation 08823728-284e-40bd-876d-df429088531d · inbound

ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis cites this paper.

ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:02:07.836532Z

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.

source=arxiv_source observed=2026-05-19T06:58:27.279482Z digest=sha256:1fd159799887427ebc7963dd4a2ef8fb45387680dd5b3266fad98d672d21b468

Observation db4aa14f-a804-4390-b5cb-a432b82360ed · inbound

Semantic Source Code Segmentation using Small and Large Language Models cites this paper.

Semantic Source Code Segmentation using Small and Large Language Models CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T18:14:06.296411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:14:06.296411Z digest=sha256:24476dee5907a5d0e33a0801c28b801e43c8df60809eceae1c9745851c8f38a2

Observation 02f4f2a9-0598-4365-a407-c056fdb14f1a · inbound

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing cites this paper.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T15:52:20.410994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:52:20.410994Z digest=sha256:0038f52e555ab4f0ae1daa28af6f589534da313849d94e77b97508581b7f3f20

Observation 9bd108fc-062d-4b2f-8c4d-837df0ee4e3a · inbound

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion cites this paper.

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T04:48:37.109377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:48:37.109377Z digest=sha256:8a6e57ee72ea190b021757a403ce6a0b31d7738ca3ba6e572dbdd34e13904261

Observation b18a651e-8e80-4c51-8f7f-54cd1b9f41f2 · inbound

AutoVeriFix: Automatically Correcting Errors and Enhancing Functional Correctness in LLM-Generated Verilog Code cites this paper.

AutoVeriFix: Automatically Correcting Errors and Enhancing Functional Correctness in LLM-Generated Verilog Code CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T20:43:12.940366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:43:12.940366Z digest=sha256:38853c472190f36cb061be2c5f69306fb1bf53bd33eca23d130323025cead483

Observation 3d2af7c1-a9dc-47cc-a8d7-86e0da150a52 · inbound

Context-Guided Decompilation: A Step Towards Re-executability cites this paper.

Context-Guided Decompilation: A Step Towards Re-executability CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:35:36.489477Z

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.

source=pdf_text observed=2026-05-18T01:33:54.870931Z digest=sha256:82e44e5f871d8fb726bbc5f2c339a2eb2a60c98410b6aa2d33ee6319a3a8968a

Observation b7645c0a-aeed-4e09-8c65-fb27fe2c08ab · inbound

A Taxonomy of Programming Languages for Code Generation cites this paper.

A Taxonomy of Programming Languages for Code Generation CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:56:14.117278Z

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.

source=arxiv_source observed=2026-05-08T02:17:18.127674Z digest=sha256:528b7d3db546e119756bc2226b8462514ee358bab61defffc797d8084d53ee69

Observation 1ab005d5-bbe6-4c9d-b066-0b799af0bd8f · inbound

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair cites this paper.

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:41:36.540576Z

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.

source=arxiv_source observed=2026-05-10T06:39:29.822371Z digest=sha256:eac4df6444ea443c91d72a43f4c9fb456a002d31c0a8e99f53e78ef7cb3cac79

Observation 5af8be4b-b77b-48db-87de-2f088f3dda35 · inbound

VerilogCL: A Contrastive Learning Framework for Robust LLM-Based Verilog Generation cites this paper.

VerilogCL: A Contrastive Learning Framework for Robust LLM-Based Verilog Generation CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:11:07.027347Z

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.

source=pdf_text observed=2026-05-10T04:04:47.376762Z digest=sha256:decb02dba84815e81a014fd0eb1b9c3d4bfaf330087a545012733985f426f23d

Observation f9f8759e-10fc-491e-a37f-2c1e940c6cfe · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 227

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:45:59.859808Z

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.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:5a6d09d6c4d3732797ae757587fc8d72f6310fbc21653581a3d3423f58a7bc94

Observation 02c59a68-a014-463e-a169-79b2685111a9 · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 212

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:01:00.441049Z

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.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:6e27c4d9192af1e25f5752eba73ff0d6f7e495cf354813ff8163f165ddb46a64

Observation bb634b73-9f92-4508-90d5-63ee309e1646 · inbound

Towards Knowledge Alignment in Code LLMs: Contrastive Unlearning for Evolving APIs cites this paper.

Towards Knowledge Alignment in Code LLMs: Contrastive Unlearning for Evolving APIs CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T12:35:44.433390Z

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.

source=pdf_text observed=2026-07-01T01:54:14.176526Z digest=sha256:4e1e76b96c85d76b3171482b6cbf6942406d776da4da85e05dc651e2a242dc3c

Observation 683b3d28-3db5-4606-85a5-cf7ef49a2bb9 · inbound

PairCoder++: Pair Programming as a Universal Paradigm for Verified Code-Driven Multimodal and Structured-Artifact Generation cites this paper.

PairCoder++: Pair Programming as a Universal Paradigm for Verified Code-Driven Multimodal and Structured-Artifact Generation CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T15:18:32.750897Z

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.

source=arxiv_source observed=2026-07-03T15:15:14.024594Z digest=sha256:914b76c66216eb8e20746e8e82dcc94fae43988639d231138e392f3b88ccaab5