Paper Citation Record · LEDGER

Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work

As of 7 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 1 inbound Pith citation observation for arXiv:2507.02760.

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

pith.paper-citation-record.v1
2507.02760 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:24:28.350052Z

measured 5 of 5 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:35:22.456917Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:35:22.487622Z

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48034454-a83e-43ab-8a99-8196f4f97ae7 · outbound

This paper cites Scaling Laws for Neural Language Models.

Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work Scaling Laws for Neural Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:28.149529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3701c85-02fe-4fdb-ac8b-bfd071af2242 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:28.231965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ec1be2-c191-4b09-8a17-bd61e879c1c9 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work ReAct: Synergizing Reasoning and Acting in Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:28.287337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77438bec-cde0-422e-849d-d1c555c26045 · outbound

This paper cites an unresolved cited work.

Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:24:28.559245Z

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.

Pith citing papers

Observation bdbc3fbb-2f7b-40c6-8cf8-36f8d79fc0ce · inbound

Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers cites this paper.

Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:35:22.492424Z

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.