Paper Citation Record · LEDGER

Position: We Need An Algorithmic Understanding of Generative AI

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2507.07544.

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

pith.paper-citation-record.v1
2507.07544 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:41:34.294384Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact3
verified fuzzy2
unresolved17
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3f9aa45-7aa0-423f-8f02-757e31d12de8 · outbound

This paper cites OpenAI o1 System Card.

Position: We Need An Algorithmic Understanding of Generative AI OpenAI o1 System Card

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.061245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b09f73ec-07c0-4910-800f-3d80f9ce1d7c · outbound

This paper cites Collective Innovation in Groups of Large Language Models.

Position: We Need An Algorithmic Understanding of Generative AI Collective Innovation in Groups of Large Language Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:41:34.891953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8019fbb2-e19b-4c7a-903c-83027a45460e · outbound

This paper cites Uncovering mesa-optimization algorithms in Transformers.

Position: We Need An Algorithmic Understanding of Generative AI Uncovering mesa-optimization algorithms in Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.871059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc7328f9-a700-402b-a001-4ac35236a09a · outbound

This paper cites Webb, T., Mondal, S.

Position: We Need An Algorithmic Understanding of Generative AI Webb, T., Mondal, S

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.960223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e7a71b6-1767-403a-8793-738f165e78d3 · outbound

This paper cites blackboxnlp-1.22/.

Position: We Need An Algorithmic Understanding of Generative AI blackboxnlp-1.22/

Reference 22

Resolution: verified exact; doi, observed 2026-08-06T18:41:34.428270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78feb67b-d0dc-4700-90ec-fce78c7045b1 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Position: We Need An Algorithmic Understanding of Generative AI AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:34.136452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b98c1d62-ff42-4025-a4a4-1836e4359c5f · outbound

This paper cites Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process.

Position: We Need An Algorithmic Understanding of Generative AI Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:34.209672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c56b80-caf5-4b45-b875-29a336726140 · outbound

This paper cites LLM Circuit Analyses Are Consistent Across Training and Scale.

Position: We Need An Algorithmic Understanding of Generative AI LLM Circuit Analyses Are Consistent Across Training and Scale

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.719373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86865687-f376-431d-b2ac-e9f71a4231d9 · outbound

This paper cites Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks.

Position: We Need An Algorithmic Understanding of Generative AI Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 281

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.312698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00398c3b-8eab-4ab6-9685-b5b56d203bc8 · outbound

This paper cites acl-main.385/.

Position: We Need An Algorithmic Understanding of Generative AI acl-main.385/

Reference 385

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:35.636131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 39f41ec0-7c6b-4287-9134-4895a461a6d0 · outbound

This paper cites A Complexity-Based Theory of Compositionality.

Position: We Need An Algorithmic Understanding of Generative AI A Complexity-Based Theory of Compositionality

Reference 427

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:32.771098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c01d07-e390-499f-966b-f53716c25031 · outbound

This paper cites Analyzing the Structure of Attention in a Transformer Language Model.

Position: We Need An Algorithmic Understanding of Generative AI Analyzing the Structure of Attention in a Transformer Language Model

Reference 435

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.831655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317fc624-76e0-4aa9-9dea-5d20285a7ff6 · outbound

This paper cites emnlp-main.446/.

Position: We Need An Algorithmic Understanding of Generative AI emnlp-main.446/

Reference 446

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:41:35.458324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 73ef97e4-de16-4851-9309-78b21f73f392 · outbound

This paper cites Large Language Models as Markov Chains.

Position: We Need An Algorithmic Understanding of Generative AI Large Language Models as Markov Chains

Reference 615

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:34.294384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0caa1a97-3963-4ca1-811d-380f0e3a0598 · outbound

This paper cites Turpin, M., Michael, J., Perez, E., and Bowman, S.

Position: We Need An Algorithmic Understanding of Generative AI Turpin, M., Michael, J., Perez, E., and Bowman, S

Reference 1936

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.761850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9253fac1-325c-4133-b822-f241bf4fc8a9 · outbound

This paper cites Chefer, H., Gur, S., and Wolf, L.

Position: We Need An Algorithmic Understanding of Generative AI Chefer, H., Gur, S., and Wolf, L

Reference 1985

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:41:35.319065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 04ed9c3e-2180-4fbe-bd67-9b78533dea48 · outbound

This paper cites Auto-Regressive Next-Token Predictors are Universal Learners.

Position: We Need An Algorithmic Understanding of Generative AI Auto-Regressive Next-Token Predictors are Universal Learners

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.187416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 300c829f-08c5-4849-85fb-a318825c0c40 · outbound

This paper cites Evaluating Cognitive Maps and Planning in Large Language Models with CogEval.

Position: We Need An Algorithmic Understanding of Generative AI Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:41:35.062439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d47ddda2-52ad-492f-a16e-dba85a4eecf1 · outbound

This paper cites Wiedemer, T., Mayilvahanan, P., Bethge, M., and Brendel, W.

Position: We Need An Algorithmic Understanding of Generative AI Wiedemer, T., Mayilvahanan, P., Bethge, M., and Brendel, W

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:34.041215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95f4fef-a7de-4572-b58f-b221f56fc63e · outbound

This paper cites Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.

Position: We Need An Algorithmic Understanding of Generative AI Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.555990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53a390bf-b9c7-4a9b-8644-9bdca7b9007f · outbound

This paper cites Stream of Search (SoS): Learning to Search in Language.

Position: We Need An Algorithmic Understanding of Generative AI Stream of Search (SoS): Learning to Search in Language

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:32.856871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f34b4799-1788-4658-8736-e873b6ea4756 · outbound

This paper cites Physics of Language Models: Part 1, Learning Hierarchical Language Structures.

Position: We Need An Algorithmic Understanding of Generative AI Physics of Language Models: Part 1, Learning Hierarchical Language Structures

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:32.578522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586e91a0-aafc-4d84-acaa-ce2586000d19 · outbound

This paper cites Does CLIP Bind Concepts? Probing Compositionality in Large Image Models.

Position: We Need An Algorithmic Understanding of Generative AI Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Reference 3529

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:33.128324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d12b584-2731-4ec7-acc4-45a43c9bc8e0 · outbound

This paper cites Language Models Represent Space and Time.

Position: We Need An Algorithmic Understanding of Generative AI Language Models Represent Space and Time

Reference 4257

Resolution: malformed identifier; no resolver link, observed 2026-08-06T18:41:33.000113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9231760d-4df7-4c6e-a3ba-b7a01dda5105 · outbound

This paper cites doi: 10.18653/v1/2022.

Position: We Need An Algorithmic Understanding of Generative AI doi: 10.18653/v1/2022

Reference 9179

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:41:34.710918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.