Pith. sign in

Paper Citation Record · LEDGER

OctoPack: Instruction Tuning Code Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 38 inbound Pith citation observations for arXiv:2308.07124.

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

pith.paper-citation-record.v1
2308.07124 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 38 of 38 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:26:32.294964Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

16
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4489ccff-d713-4eb1-bb66-6b0c25eb3ec4 · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! OctoPack: Instruction Tuning Code Large Language Models

Reference 297

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:33:00.464720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:08877d288e526e2206a3eaca5bc22b1612537db44479ba1df7cba8ecff0878b2

Observation 22287d85-a898-4581-9b77-3a4400895d40 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models OctoPack: Instruction Tuning Code Large Language Models

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:35:21.298104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T01:35:21.150772Z digest=sha256:80fecc311817d367c53e3690739160142045096beebbd4efef90054e66c13bdd

Observation a6b7ac56-4de8-45fb-95cf-95dd8ed80dd7 · inbound

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework cites this paper.

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework OctoPack: Instruction Tuning Code Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:43:19.117007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T03:43:18.632292Z digest=sha256:84cfd08f1b3299b20812f252ceec92646760c910f3a87166af990c4162b4e7ff

Observation 92067571-b9c3-4ff1-9888-3719d6fe93a0 · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings OctoPack: Instruction Tuning Code Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:24:32.240304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T13:24:32.084878Z digest=sha256:5a1014862b01e66dd9255ae45b48f26c966e44bc4ca78d82d5b2b7744ddc9a46

Observation 1de9a932-1f27-4ccc-8c1f-e31dd397af32 · inbound

CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.

CodeMind: Evaluating Large Language Models for Code Reasoning OctoPack: Instruction Tuning Code Large Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:55:59.636361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T03:53:55.964755Z digest=sha256:17442cf47c8b5212de62c0f77c313ff2b8cfcefbd1507e2ce687147d0eedfc35

Observation 2feab7fc-1ef9-4bcb-94fe-78e8dd149f29 · inbound

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

A Survey on Large Language Models for Code Generation OctoPack: Instruction Tuning Code Large Language Models

Reference 191

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.502365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:a3812b3c2b35820cc9bff077c7a3db9aa33ad43708cd9250c6fcc3a9ca73e928

Observation c58bf130-8a9f-4ddc-911a-4c8c5a4c69fa · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models OctoPack: Instruction Tuning Code Large Language Models

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:58:17.133574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T22:58:16.523267Z digest=sha256:a4496ded4bdcc1866d91a863d2616d69986b008545b39d418a68a6b52582b711

Observation 95206c63-0a43-4037-b01f-c6f5b62e52b0 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach OctoPack: Instruction Tuning Code Large Language Models

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:39:41.117482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:b0d39458787830064ed7d666416044381e4a418b1e3ce7416ee0142f51b08e27

Observation 4517cd31-7442-4348-b98d-77c0cd169dc0 · inbound

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks cites this paper.

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks OctoPack: Instruction Tuning Code Large Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-08T16:26:32.294964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:26:32.294964Z digest=sha256:f05191e6f8bc8e99638dc78d55de01f5c98c8c5f921993b9ed54c83ab8d152b5

Observation b7bf3e00-6532-45dc-9dbf-5e815f731933 · inbound

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts cites this paper.

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts OctoPack: Instruction Tuning Code Large Language Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T14:04:53.212808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T14:02:23.311597Z digest=sha256:0ef5f2d35b5c9a4a0d3e4c411628cbfc86818c360bb615c1e746738c35bfa683

Observation 492415ef-6aa9-4ed9-8aeb-968a3d641bd2 · inbound

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing cites this paper.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing OctoPack: Instruction Tuning Code Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:15.052231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.052231Z digest=sha256:20d0273adb8061f843b0043c8fd23a9e2091154d77401818f4affe82c0b8e614

Observation 6f1cdc92-c4ba-4516-8791-f37cc701aabf · inbound

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects OctoPack: Instruction Tuning Code Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:00.687938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:56:00.687938Z digest=sha256:2f34299e15848b0c856c3fad2df13b0731e67f3f4cae01e8cae3cab2587eeb21

Observation caa38319-d09b-47cb-aabd-64f3435800bf · inbound

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries cites this paper.

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries OctoPack: Instruction Tuning Code Large Language Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T13:23:03.931650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:03.931650Z digest=sha256:58434c86c3b4675f01427bdf9a388a81c1bb69bb935ed9330c262d6108e82328

Observation 09a2c6b6-a773-47ed-a7de-bc693cfc080b · inbound

PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents cites this paper.

PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents OctoPack: Instruction Tuning Code Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:20.081643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:20.081643Z digest=sha256:ddfd8583c4bed1890cd50e129462ca449495c26e4df979c46f8f0d02b4fb7ebd

Observation 93a71e4a-fe8b-4a52-82b8-9f69abb06b3c · inbound

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization cites this paper.

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization OctoPack: Instruction Tuning Code Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:50:27.026954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:27.026954Z digest=sha256:7e9311c1991279b5246f615c08d5317096e1043714f500b733ede82c863e6b24

Observation a449005e-46f0-4086-a812-121c7abd423e · inbound

Lossless Token Sequence Compression via Meta-Tokens cites this paper.

Lossless Token Sequence Compression via Meta-Tokens OctoPack: Instruction Tuning Code Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:14:28.092042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:14:28.092042Z digest=sha256:e6a37f134ac1642474dbe0c3292a288f9c036b1aebc2adca932df0013bd965d0

Observation 26a151a7-faee-4240-b6ae-28d03c82424c · inbound

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs cites this paper.

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs OctoPack: Instruction Tuning Code Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:31.261257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:31.261257Z digest=sha256:87fe0d18a3080fd1f31270f9801c38679a3ede12b6ad2602dae88f478a87a457

Observation e1650be8-de48-4a23-bc2e-494b1e5b6e6a · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap OctoPack: Instruction Tuning Code Large Language Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T23:26:56.772665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:56.772665Z digest=sha256:ffac6c339d0520b26e310f28b560910ad2999a1bdc24e5ae8e8db298470951d1

Observation 49342310-22f1-40e7-bcaa-fc90aa208c06 · inbound

Recommending Variable Names for Extract Local Variable Refactorings cites this paper.

Recommending Variable Names for Extract Local Variable Refactorings OctoPack: Instruction Tuning Code Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:37.021154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:37.021154Z digest=sha256:2e9ac5f2d2b5e44efe04517f0103ec40703dc2f6978aea63d5ca65ddfec1b797

Observation 79679be1-abd6-413c-9a57-b69ca7794d5d · inbound

Multilingual Multimodal Software Developer for Code Generation cites this paper.

Multilingual Multimodal Software Developer for Code Generation OctoPack: Instruction Tuning Code Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:55.990650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:55.990650Z digest=sha256:2444aa1066ced2b225757030dcf58a75f0a171cc579a0c733a7062434db4d964

Observation 9bf830d5-07a0-4b7e-ab44-2f2b95e7f915 · inbound

AI-Assisted Fixes to Code Review Comments at Scale cites this paper.

AI-Assisted Fixes to Code Review Comments at Scale OctoPack: Instruction Tuning Code Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T16:29:48.443541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:29:48.443541Z digest=sha256:defd69a91076c6cd9088659f44314784ce579c106f54fe1b5905f8dca4f1251b

Observation 7502a738-afd8-4de6-b0b5-d2ab698764fb · inbound

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing cites this paper.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing OctoPack: Instruction Tuning Code Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T15:32:37.673877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.673877Z digest=sha256:a1348bc47018fe2fbe038699d24b6c712655f71edfd42e35eb2ada6e0354df1e

Observation 392ef389-d935-4858-95c6-9e4b32e5a33c · inbound

Speculative Verification: Exploiting Information Gain to Refine Speculative Decoding cites this paper.

Speculative Verification: Exploiting Information Gain to Refine Speculative Decoding OctoPack: Instruction Tuning Code Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:21:24.225895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:17:57.627009Z digest=sha256:6b64ea0f3f23415899f0aede0c2fa72dd3c5c070b7b47107c00e441a1573c731

Observation f14374cb-7b66-4124-8796-575817bc4054 · inbound

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths cites this paper.

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths OctoPack: Instruction Tuning Code Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:22:33.311036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T10:22:09.037783Z digest=sha256:1f44019794819eb438418ae4ed45aabeb58597851e77bd6a851d6c35de6c1606

Observation 5c210ebf-553f-4f21-8342-4f61c02e5626 · inbound

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models cites this paper.

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models OctoPack: Instruction Tuning Code Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:00:57.243653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T05:59:00.400429Z digest=sha256:c38735019e6c4cbe76baf3262d50e14f132ec599d3f02398335e4e7d8e8dfadf

Observation 11060273-2ec4-4bae-9290-a0d477ef911d · inbound

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding cites this paper.

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding OctoPack: Instruction Tuning Code Large Language Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:32:36.456894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T08:30:50.984873Z digest=sha256:23300d40ec1fdaacca3beb2f5e2ffe63895851e449ac3145d48f5eebcd55d900

Observation 052fe75b-2332-4867-9b4f-7f9e9b05f959 · inbound

Rethinking Code Complexity Through the Lens of Large Language Models cites this paper.

Rethinking Code Complexity Through the Lens of Large Language Models OctoPack: Instruction Tuning Code Large Language Models

Reference 1976

Resolution
unresolved
no resolver link, observed 2026-08-03T03:32:07.830196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:32:07.830196Z digest=sha256:2cbb0c5dad76b606762811530943666612a1401a597102f2db4776f710ef9c40

Observation 5b6825e4-1b63-4e8b-9527-f4df93681eb7 · inbound

Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code cites this paper.

Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code OctoPack: Instruction Tuning Code Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T22:09:51.400538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:09:51.400538Z digest=sha256:2fd94d0dd2269a93a5baeaf5bcf9f4a97ad82651ec8a2bb2f4b3bff8df2b263d

Observation 859c3a37-7fe2-4eb6-b238-bc22f270b69a · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding OctoPack: Instruction Tuning Code Large Language Models

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T03:17:12.482643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-16T03:13:37.202362Z digest=sha256:48a6093b8194ab2f6dc5fc63ba53dda9fe3b1045c9dedbe2ecf25302e9983803

Observation 4fc148b9-45fe-4eb0-b418-8e315c321d07 · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding OctoPack: Instruction Tuning Code Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T02:40:56.962516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T02:40:56.962516Z digest=sha256:3d65339d904b8a904f336164f304554fdb5c3d52ed514f35a1432a6deeb8cea8

Observation 5cf32339-6c31-47f1-ab07-325428dbdae9 · inbound

Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals cites this paper.

Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals OctoPack: Instruction Tuning Code Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:04.575333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T14:53:38.227540Z digest=sha256:faa93f436763aa1baafc134db02d5ce950518969d7958436bf22f8f4b82458a1

Observation b2dcc977-3ec8-4fdb-95ae-abe1f6378859 · inbound

Mean-Pooled Cosine Similarity is Not Length-Invariant: Theory and Cross-Domain Evidence for a Length-Invariant Alternative cites this paper.

Mean-Pooled Cosine Similarity is Not Length-Invariant: Theory and Cross-Domain Evidence for a Length-Invariant Alternative OctoPack: Instruction Tuning Code Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:45:59.005145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:05:46.720449Z digest=sha256:7c8c5579a57d723a25c43ee55752fa87e8ee2526ae5ad32051d8fbf0d603289e

Observation 557f351a-1d7b-483b-ba96-7558a549c74b · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling OctoPack: Instruction Tuning Code Large Language Models

Reference 265

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T03:08:59.561197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T03:05:36.871497Z digest=sha256:0ef662fc874a03996246fcff6c453ab1c4680f30f026c34b4fef340866e2aa93

Observation 3001ae1e-0a06-4c34-8de4-403f83608013 · inbound

End-to-End Context Compression at Scale cites this paper.

End-to-End Context Compression at Scale OctoPack: Instruction Tuning Code Large Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:17:31.605884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:36:54.699174Z digest=sha256:2c5e90b9fbff7bf59dd8b62984c7544916068c7c983e12701cfe9c208c601fa6

Observation 273396b1-78e8-42a5-b0c3-4a8b9103392f · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes OctoPack: Instruction Tuning Code Large Language Models

Reference 177

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:57:41.431845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:b6883255ae2b1dd37d35eba0f31c7167d6dfc14573bab0e3159f2530604bed9b

Observation f06de5e2-7c1d-4ef5-86b4-9a12ac018658 · inbound

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation cites this paper.

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation OctoPack: Instruction Tuning Code Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:34:26.754969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T08:30:37.016856Z digest=sha256:6f6b01078b613fbf1017924eae7de571dd790e040af6d4d9ca36d1a0231d4a53

Observation ea5f674a-ed9d-472c-819f-7df418de6219 · inbound

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search cites this paper.

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search OctoPack: Instruction Tuning Code Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-30T11:17:16.447310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T11:17:16.447310Z digest=sha256:c06a68131ef1bf092c81373e2b2d8a339c44e05fe29a4e855affc7dd8058e0a5

Observation 39ca7c3d-1305-40c4-a983-16b481046744 · inbound

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search cites this paper.

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search OctoPack: Instruction Tuning Code Large Language Models

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-03T01:43:12.865829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:43:12.865829Z digest=sha256:069c665fe13061c1f73abd005900c9df69593e2ce262ac048ae259cd457b1ab2