Paper Citation Record · LEDGER

BillSum: A Corpus for Automatic Summarization of US Legislation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1910.00523.

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

pith.paper-citation-record.v1
1910.00523 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:52:04.617827Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:30:57.648365Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 bd1f1584-5560-414d-890a-5ecf374e1bc4 · inbound

Political-LLM: Large Language Models in Political Science cites this paper.

Political-LLM: Large Language Models in Political Science BillSum: A Corpus for Automatic Summarization of US Legislation

Reference 191

Resolution: unresolved; no resolver link, observed 2026-08-11T19:52:04.617827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c48780-4ff4-4c3a-8182-93d08f90c17b · inbound

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs cites this paper.

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs BillSum: A Corpus for Automatic Summarization of US Legislation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T12:17:56.697713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a226271-4d8d-4297-8c86-ee8587717164 · inbound

A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement cites this paper.

A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement BillSum: A Corpus for Automatic Summarization of US Legislation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T23:23:28.478405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5077780e-bf71-4f6f-99e6-f0635e9feed8 · inbound

Visual Text Compression as Measure Transport cites this paper.

Visual Text Compression as Measure Transport BillSum: A Corpus for Automatic Summarization of US Legislation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:57.651903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.