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Paper Citation Record · LEDGER

OctoPack: Instruction Tuning Code Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 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 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:52:11.699553Z

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
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  • 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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:5e2a6bc816b4b4ab4fca852e6c90f28f15d542bfedacc95674ae1d79024d5f54

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T01:35:21.150772Z digest=sha256:ab1bccebe2b2bd8b9703a6d0b6268dd38dbe45688ca76b28d24a76653d5ccf50

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T03:43:18.632292Z digest=sha256:42e546ea6d6d839b8711dcf71a25dd71156773f703657e71c0c8bdf74c284197

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T13:24:32.084878Z digest=sha256:b171e9506ee41f0faf6b66bfbd50c2951b6a7dc5b97cb38eff8c58f6d82b2e89

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T03:53:55.964755Z digest=sha256:ba9f35d0b38c16fa7514c408ee7cdc0779ef4978b66d78bb7365cbb0bbf90f77

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:309d4cfef27d8a566850f3c18faa2c997518244325c8acbe23aab0b20d8a4990

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T22:58:16.523267Z digest=sha256:1b06cd52aad77d8c794c3a569e8351121bfb79abc16f89dbbaf190885a3d380d

Observation 7d3a024f-16a2-4550-a2c3-2fb0826f957c · inbound

Learning to Generate Unit Tests for Automated Debugging cites this paper.

Learning to Generate Unit Tests for Automated Debugging OctoPack: Instruction Tuning Code Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T14:52:11.699553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:52:11.699553Z digest=sha256:fef3cdc6920a60ef0d60caa79ca5a4ccac48f12c8d304eb2bde6f5039002ce6e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:7ebcde15ac17522c6c8f9092c3d165cff54c6cf6e5ed6a22943abda55e2e7a95

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=sha256:44255fff3438fdbd5931e4894d288a1fa9e0ac2598339bb2c3de3bff1dd43bbd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T14:02:23.311597Z digest=sha256:6887c18ae2c5bfbc5fadb33311044f502d2d04befbe52481390d325845488ac9

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

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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=sha256:12a25c296e012d857ae3cbca0047e58c5c30a2e9ced7ea2810722bd480772620

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=sha256:37ede6be296b604afb8158e2abe31668b08f7a77b5b051f1059166ee8ee4ac8b

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=sha256:8b42890fa32b0149e57d0af08be22c5bd95d438957629587ef3ea1ec9e4938c8

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=sha256:2d08f03a41d46ad919dc95a53dc8765cd5efab79a2e602ed1934402e05624bfa

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=sha256:7de1bad895ac5b3b732b7289febca63cdd7423d66969e97c23ccd017d83fe9a7

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:fc2c02f6a8162ecf59d78f1020ee30336ded483b5cfb16740b2087bf9c8d1ea5

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=sha256:13e468d0574de7934abdfe6ec1fb6806c55eddcf3f829c61ac88d17a386d94ad

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T13:17:57.627009Z digest=sha256:b9f0fb5100f74b8856f1e7cf370f008e701f9392de0713e41eb8417d2b98f295

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T10:22:09.037783Z digest=sha256:3337f756de4b81a472975b9b43c0d0b69470ce5aad39d53c5cd7ad0d4b72ebdc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T05:59:00.400429Z digest=sha256:40d639e6b8cb936e48a80a900d56cc8fce355bd450da169ab3aafdedbff4b195

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T08:30:50.984873Z digest=sha256:f2edfecc5a940ee6278d42b5d795ec992f6d0a4b04c318e7d94429527c573718

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:e5dbc6a6b08be78d5ecd56393f5dc917640a989be2f294cb80413c950b4c46f3

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

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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=sha256:35a101eaeaf094e5f8a11bfae5cdf0bb1413cb265edd39d1f1386269fe2b59ba

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T03:13:37.202362Z digest=sha256:5497d35bf014b3a32ff5978a929fa93aab8563979fb5b412b74012e72b053257

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

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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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T14:53:38.227540Z digest=sha256:5a44b76c0beb34648bb906460d840df4f016b12d33ce7e844df99c70fedf188e

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T01:05:46.720449Z digest=sha256:48a8219df69a97b0d79871d2b13b928836b830d4450bd4a4c5d53a436c9a1538

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T03:05:36.871497Z digest=sha256:654a0c47a42a848070dc4b79e7abd102129bcaf973726d8c005af01ae621e679

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T16:36:54.699174Z digest=sha256:0ebc5ef4a9eb937340456161672cc0a07da1ec4278b016ada9b860006a13a4bb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:aff63e70c57b45adcc47c81acbab947e268630b574d0d688ff7aa31b70995969

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T08:30:37.016856Z digest=sha256:ab27d9b16ed0a44bc2e1f1cae167e538276baa432e03ea8396f2b3572efd7ad9

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