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Paper Citation Record · LEDGER

Large Language Models as General Pattern Machines

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2307.04721.

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

pith.paper-citation-record.v1
2307.04721 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:55:19.898701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:07:02.013603Z

Reference resolution

0 of 0 outbound references displayed

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  • 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 ab36d4ea-15cd-49d5-8ad0-de7147090326 · inbound

Large Language Models as Optimizers cites this paper.

Large Language Models as Optimizers Large Language Models as General Pattern Machines

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T00:04:31.307491Z

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=2026-05-15T00:04:31.212102Z digest=sha256:e0975ed159627333d307081ec382f9cd0fd1765cb9efc9c512b1c1ccd1eaa61e

Observation 2056e0e5-a596-470c-9697-02a750c152fd · inbound

Language Modeling Is Compression cites this paper.

Language Modeling Is Compression Large Language Models as General Pattern Machines

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T22:36:13.470532Z

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=2026-05-17T22:36:13.392250Z digest=sha256:46933d6dbc7483e5bf660b83b3377cde98dc47a8feb2886687b4979bbf5119d0

Observation d1e54f1d-38eb-4535-9bae-616153fcc475 · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction Large Language Models as General Pattern Machines

Reference 226

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T14:25:59.052642Z

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=2026-05-18T14:25:58.876978Z digest=sha256:790a24e551c43a9a4e57cf962a129ef7a36bf4e8fc22b173303a8d3d4e2a8b05

Observation e776db5e-5e9c-4a54-99b5-593749430dc0 · inbound

The Platonic Representation Hypothesis cites this paper.

The Platonic Representation Hypothesis Large Language Models as General Pattern Machines

Reference 286

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T06:03:56.842975Z

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=2026-05-15T06:03:56.328012Z digest=sha256:f14df51e7c191c571b68f6516815ef7030533baa51f0b1ffc25ff949a8a69e93

Observation bb87fb96-c31e-44e7-804d-cd418c43ce9a · inbound

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis cites this paper.

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis Large Language Models as General Pattern Machines

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:19.898701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:19.898701Z digest=sha256:d4ab0290c35e6f72918c18287a18532f2f2c0a2213ae01a8a0786e51ecbae740

Observation e7023d69-6b36-4ca7-9ec7-eaf18f24f691 · inbound

EXP-Bench: Can AI Conduct AI Research Experiments? cites this paper.

EXP-Bench: Can AI Conduct AI Research Experiments? Large Language Models as General Pattern Machines

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T12:20:45.871410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:20:45.871410Z digest=sha256:682d77a8db3393c00667a1dd6a7ab5d28f61da1982396f496a58e8013068d324

Observation 813cae08-739f-4857-a6c0-d1ebc9eedb3b · inbound

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation cites this paper.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Large Language Models as General Pattern Machines

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.232622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.232622Z digest=sha256:84f9dd2de09d15944de7dc725044b539a4428e9b9e58db034b84e055ac438c85

Observation f0a075df-f788-413b-b3d5-1ec21f4e1f96 · inbound

On the Surprising Efficacy of LLMs for Penetration-Testing cites this paper.

On the Surprising Efficacy of LLMs for Penetration-Testing Large Language Models as General Pattern Machines

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T21:10:06.598563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:10:06.598563Z digest=sha256:8fa820fd530bf30dd9cc838ffa650a590a658d4daab8e9969e0e267ce0823f75

Observation 83e81cc2-3f92-4535-be17-a1646b16d8a8 · inbound

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding cites this paper.

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding Large Language Models as General Pattern Machines

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:07:02.015667Z

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=2026-05-19T04:03:29.765482Z digest=sha256:fb5a61c2b90a4072269acf54122b265419fac4ae73f7a5848d118bcb912e5974

Observation 0bd817ca-56f3-4187-b321-380663caa900 · inbound

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem cites this paper.

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem Large Language Models as General Pattern Machines

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T16:29:09.355118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:29:09.355118Z digest=sha256:2624125b6ec32d14bc863d67795ddfc9c80b7b28d582719a725215d9d9f0c9f3

Observation a6a32945-5888-4bbb-bfeb-3e13503d7301 · inbound

Systematic Evaluation of Knowledge Graph Repair with Large Language Models cites this paper.

Systematic Evaluation of Knowledge Graph Repair with Large Language Models Large Language Models as General Pattern Machines

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T11:49:15.993929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:49:15.993929Z digest=sha256:c0cbf9cb5fe38235c05aa8a274b44855eaa697120843002498c688b56474b56b

Observation 98ebe19d-da34-4ac3-bed3-34796327e04c · inbound

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction cites this paper.

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction Large Language Models as General Pattern Machines

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-05T13:02:25.674181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:02:25.674181Z digest=sha256:42e53f7db1dd93cc8771b871dbbb13591201baddc8165d87b84daecb43c89453

Observation 9b9bb2b4-2d6c-4949-b389-7e2e2e69147e · inbound

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm cites this paper.

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm Large Language Models as General Pattern Machines

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T05:31:06.612946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:31:06.612946Z digest=sha256:70f47ccde7e12d26339ba7aee1a59414338892b29bf3007da44bb8974e729c1e

Observation de6e0a06-5604-4d58-aa14-4c6cc7eca472 · inbound

Can Large Language Models Generalize Procedures Across Representations? cites this paper.

Can Large Language Models Generalize Procedures Across Representations? Large Language Models as General Pattern Machines

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T05:00:58.255516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:00:58.255516Z digest=sha256:a1c6069aacd882285e354d95f9c5c254178e2da0e835b5d3b21d828e2fe419f9

Observation 3bc93984-6441-4ccc-8214-dd8de53277ea · inbound

Gradient-Based Program Synthesis with Neurally Interpreted Languages cites this paper.

Gradient-Based Program Synthesis with Neurally Interpreted Languages Large Language Models as General Pattern Machines

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:56:11.437277Z

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=2026-05-10T04:29:33.858344Z digest=sha256:be05aa7fb1e4a06c40a6ea0d678b0beb4a23e231d18a2b66ab2f614c3b86f0e8

Observation 9998a727-e638-49ac-8e31-12fcfdc526ed · inbound

Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning cites this paper.

Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning Large Language Models as General Pattern Machines

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:41:17.197434Z

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=2026-05-12T02:40:49.844589Z digest=sha256:48fd45efe07f8206f50994d39fe43946988739dbe87b39102f5fcd35fdeff347

Observation af2c28cd-5871-44d3-8890-a300c1c376ca · inbound

Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention cites this paper.

Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention Large Language Models as General Pattern Machines

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-31T23:36:27.645292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:36:27.645292Z digest=sha256:aaa6d86e889bd4cd367c8a2de393f753f0d43d081da933ebe931f212d3900b46