Paper Citation Record · LEDGER

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners

As of 5 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2606.23668.

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

pith.paper-citation-record.v1
2606.23668 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:13:55.624609Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:25:22.245783Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact9
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1713bc23-5f98-4a27-8b34-814b6bea622a · outbound

This paper cites User-friendly introduction to PAC-Bayes bounds.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners User-friendly introduction to PAC-Bayes bounds

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.731939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8177ad14-3bb0-4d98-bc70-8c14c69d1222 · outbound

This paper cites Language Models as Agent Models.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Language Models as Agent Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.729385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f0f074bd-f7a8-4858-b988-e1bbd69cfdf1 · outbound

This paper cites Role of chatgpt in computer programming.: Chatgpt in computer programming.Mesopotamian Journal of Computer Science, 2023:8–16,.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Role of chatgpt in computer programming.: Chatgpt in computer programming.Mesopotamian Journal of Computer Science, 2023:8–16,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T09:13:55.624609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5040058-e6b7-42cf-b7c7-512f36954310 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Training Verifiers to Solve Math Word Problems

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:59:45.742360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f496f7f0-2cc3-4ffa-9bf9-f0ff74d84d47 · outbound

This paper cites ChessGPT: Bridging Policy Learning and Language Modeling.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners ChessGPT: Bridging Policy Learning and Language Modeling

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.737230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f34b3cfc-a770-4f4d-bdc6-3904bc7350ea · outbound

This paper cites Mathematical Capabilities of ChatGPT.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Mathematical Capabilities of ChatGPT

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.734592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 600ae53e-0984-4d20-8978-92e84c311393 · outbound

This paper cites Challenges and Applications of Large Language Models.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Challenges and Applications of Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.739846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c7b63e70-b6d8-4aaa-96be-0fc7c857d8f6 · outbound

This paper cites Limitations of Autoregressive Models and Their Alternatives.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Limitations of Autoregressive Models and Their Alternatives

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.726721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d75d2808-0ff6-42f9-a1de-20424c1f45c6 · outbound

This paper cites Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.724227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e9fdad14-2a59-4494-bba5-6473b8b4152d · outbound

This paper cites Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.721729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e741cae-91ec-4b23-a891-c8e9ea5723b2 · outbound

This paper cites Large language models in medicine.Nature medicine, 29(8):1930–1940,.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Large language models in medicine.Nature medicine, 29(8):1930–1940,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T09:13:55.624609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70374497-4a68-4034-81a7-ee2711f3a86d · outbound

This paper cites The Learnability of In-Context Learning.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners The Learnability of In-Context Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.718932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0962c0b3-577c-4891-b785-f84d3df882a6 · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:59:45.709675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c6aaebc5-8157-4489-9fbc-89f367f19cdd · outbound

This paper cites Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.712959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3cd27f3b-42c5-411a-b989-879579be8e7f · outbound

This paper cites ProAgent: Building Proactive Cooperative Agents with Large Language Models.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners ProAgent: Building Proactive Cooperative Agents with Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.716259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation fe99c023-d75b-4be2-985a-52ce7d9fa129 · inbound

Safeguards Based on Copyable Context Cannot Provide Reliable Safety for LLMs cites this paper.

Safeguards Based on Copyable Context Cannot Provide Reliable Safety for LLMs On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T22:25:22.245783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.