Paper Citation Record · LEDGER

Algorithm for Automatic Legislative Text Consolidation

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2501.16794.

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

pith.paper-citation-record.v1
2501.16794 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:43:49.256303Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 075e8262-c93f-495f-9601-65a4715ba3db · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

Algorithm for Automatic Legislative Text Consolidation Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.203879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 282f760c-2c35-4c9d-bc41-b5ec11e7d753 · outbound

This paper cites GenIE: Generative Information Extraction.

Algorithm for Automatic Legislative Text Consolidation GenIE: Generative Information Extraction

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T10:43:49.422761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fcb89dcf-11c9-4243-9108-ddb7456197c8 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Algorithm for Automatic Legislative Text Consolidation Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.224768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0132b675-9373-4a42-b79f-ee839b5fd6de · outbound

This paper cites GPT Understands, Too.

Algorithm for Automatic Legislative Text Consolidation GPT Understands, Too

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.230377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b0f94cb-1259-4290-8751-0f9c7f765e8b · outbound

This paper cites Felix: Flexible Text Editing Through Tagging and Insertion.

Algorithm for Automatic Legislative Text Consolidation Felix: Flexible Text Editing Through Tagging and Insertion

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T10:43:49.370534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20c788de-9215-4a6f-a072-05538fe4f04b · outbound

This paper cites Encode, Tag, Realize: High-Precision Text Editing.

Algorithm for Automatic Legislative Text Consolidation Encode, Tag, Realize: High-Precision Text Editing

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T10:43:49.347072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 60ede25b-7a49-4941-9f3e-7733a0e50c36 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Algorithm for Automatic Legislative Text Consolidation Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.245673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5b4677c-ccad-4272-90c1-a3fe25e3e67e · outbound

This paper cites Simple BERT Models for Relation Extraction and Semantic Role Labeling.

Algorithm for Automatic Legislative Text Consolidation Simple BERT Models for Relation Extraction and Semantic Role Labeling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.250876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f82c3a-ec46-49f0-be8e-14dbeb3b92b6 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Algorithm for Automatic Legislative Text Consolidation Finetuned Language Models Are Zero-Shot Learners

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.256303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4cde53e-0d92-4056-9585-89fd63adbd2f · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

Algorithm for Automatic Legislative Text Consolidation Parameter-Efficient Transfer Learning for NLP

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.208735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aca038c-3835-4c73-a9d3-bb20a9cc84c0 · outbound

This paper cites Language Models are Few-Shot Learners.

Algorithm for Automatic Legislative Text Consolidation Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.189138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efef9b34-9353-42f0-a79c-20a4aca48e96 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Algorithm for Automatic Legislative Text Consolidation LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.214184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27fe1bc9-20f6-42e3-b991-1e479420adb5 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Algorithm for Automatic Legislative Text Consolidation Scaling Instruction-Finetuned Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.194401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de871c6-b85a-47ee-b19f-502ba6f8f28b · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Algorithm for Automatic Legislative Text Consolidation QLoRA: Efficient Finetuning of Quantized LLMs

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T10:43:49.199142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.