Paper Citation Record · LEDGER

Measuring Alignment With Reader Highlights Net of Position and Length

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2607.27739.

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

pith.paper-citation-record.v1
2607.27739 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:18:43.506872Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:20:13.492647Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8895f1f4-df75-4820-9b54-909a5cb8dc3a · outbound

This paper cites Selection, Not Salience: The Shape and Limits of Personalization in Social Highlighting.

Measuring Alignment With Reader Highlights Net of Position and Length Selection, Not Salience: The Shape and Limits of Personalization in Social Highlighting

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.426942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b14ac61-6e3c-42b1-9df3-96979013fb48 · outbound

This paper cites A Diagnostic Study of Explainability Techniques for Text Classification.EMNLP, 2020.

Measuring Alignment With Reader Highlights Net of Position and Length A Diagnostic Study of Explainability Techniques for Text Classification.EMNLP, 2020

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.431473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1057aaf-2a41-466e-9237-16727f44131c · outbound

This paper cites You had me at hello: How phrasing affects memorability.ACL, 2012.

Measuring Alignment With Reader Highlights Net of Position and Length You had me at hello: How phrasing affects memorability.ACL, 2012

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.435247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf680a7-43ef-4751-8d81-556ed35b239f · outbound

This paper cites You are no Jack Kennedy.

Measuring Alignment With Reader Highlights Net of Position and Length You are no Jack Kennedy

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.438786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f540559-6c62-4130-9380-7b0953cb0b8c · outbound

This paper cites LAST at CMCL 2021 Shared Task.CMCL, 2021.

Measuring Alignment With Reader Highlights Net of Position and Length LAST at CMCL 2021 Shared Task.CMCL, 2021

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.442420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82eafa1b-8764-438a-a0b9-a507ddbeadf2 · outbound

This paper cites ERASER: A Benchmark to Evaluate Rationalized NLP Models.ACL, 2020.

Measuring Alignment With Reader Highlights Net of Position and Length ERASER: A Benchmark to Evaluate Rationalized NLP Models.ACL, 2020

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.450355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90bffc4a-a8c6-46fb-879c-c5afd1b858c1 · outbound

This paper cites ECoRAG: Evidentiality-guided Compression for Long Context RAG.

Measuring Alignment With Reader Highlights Net of Position and Length ECoRAG: Evidentiality-guided Compression for Long Context RAG

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.454207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd4220e0-cfbc-4e14-a9cf-4b24400d04b1 · outbound

This paper cites Countering the Effects of Lead Bias in News Summarization.EMNLP-IJCNLP, 2019.

Measuring Alignment With Reader Highlights Net of Position and Length Countering the Effects of Lead Bias in News Summarization.EMNLP-IJCNLP, 2019

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.457774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3cc2593-6484-4dac-82d7-5794ce0e83bd · outbound

This paper cites HighRES: Highlight-based Reference-less Evaluation of Summarization.ACL, 2019.

Measuring Alignment With Reader Highlights Net of Position and Length HighRES: Highlight-based Reference-less Evaluation of Summarization.ACL, 2019

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.461165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c212e0c-257b-49eb-832e-382800ee266c · outbound

This paper cites Relative Importance in Sentence Processing.ACL, 2021.

Measuring Alignment With Reader Highlights Net of Position and Length Relative Importance in Sentence Processing.ACL, 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.464429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 641f20a5-92cc-4fd2-9ef0-cb856abaab17 · outbound

This paper cites Towards Faithfully Interpretable NLP Systems.ACL, 2020.

Measuring Alignment With Reader Highlights Net of Position and Length Towards Faithfully Interpretable NLP Systems.ACL, 2020

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.467672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cde88c2-be47-48a1-9ade-ecaa4bd6b0db · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.EMNLP, 2023.

Measuring Alignment With Reader Highlights Net of Position and Length LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.EMNLP, 2023

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.470876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06fc6098-2f6f-4e81-b18f-3dabbd2f5558 · outbound

This paper cites Earlier Isn’t Always Better.

Measuring Alignment With Reader Highlights Net of Position and Length Earlier Isn’t Always Better

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.474356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efdd9088-8ac7-48ba-a11b-b960602a139a · outbound

This paper cites Content Selection in Deep Learning Models of Summarization.EMNLP, 2018.

Measuring Alignment With Reader Highlights Net of Position and Length Content Selection in Deep Learning Models of Summarization.EMNLP, 2018

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.477700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ad60d40-64d5-43e1-b5fa-9cb970791af7 · outbound

This paper cites A Trainable Document Summarizer.SIGIR, 1995.

Measuring Alignment With Reader Highlights Net of Position and Length A Trainable Document Summarizer.SIGIR, 1995

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.481278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25bf041d-95d5-4ab0-a29b-f38ae716d749 · outbound

This paper cites Understanding and Improving Information Preservation in Prompt Compression.Findings of EMNLP, 2025.

Measuring Alignment With Reader Highlights Net of Position and Length Understanding and Improving Information Preservation in Prompt Compression.Findings of EMNLP, 2025

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.484532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a614e3-eec0-45ba-9bd8-924b04619ddb · outbound

This paper cites Compressing Context to Enhance Inference Efficiency of Large Language Models.EMNLP, 2023.

Measuring Alignment With Reader Highlights Net of Position and Length Compressing Context to Enhance Inference Efficiency of Large Language Models.EMNLP, 2023

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.487903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73298a3c-f61c-464a-a3e9-716b4bb3fd2b · outbound

This paper cites A Cross-lingual Comparison of Human and Model Relative Word Importance.CLASP, 2022.

Measuring Alignment With Reader Highlights Net of Position and Length A Cross-lingual Comparison of Human and Model Relative Word Importance.CLASP, 2022

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.491039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ad1aa0-1680-4445-80c4-d39ef144b9f7 · outbound

This paper cites LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.Findings of ACL, 2024.

Measuring Alignment With Reader Highlights Net of Position and Length LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.Findings of ACL, 2024

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.494360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac44f8d-6f50-4c77-a4c8-b8878a94fb7e · outbound

This paper cites How to Compare Summarizers without Target Length?NeuralGen@NAACL, 2019.

Measuring Alignment With Reader Highlights Net of Position and Length How to Compare Summarizers without Target Length?NeuralGen@NAACL, 2019

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.497642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9921fded-ddbc-48de-bbbe-0102afd6fec5 · outbound

This paper cites Behavioral Analysis of Infor- mation Salience in Large Language Models.Findings of ACL, 2025.

Measuring Alignment With Reader Highlights Net of Position and Length Behavioral Analysis of Infor- mation Salience in Large Language Models.Findings of ACL, 2025

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.500830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d42d6eaa-bbef-4db1-8136-6d7a950f94a2 · outbound

This paper cites arXiv:2602.00459,Findings of EACL, 2026.

Measuring Alignment With Reader Highlights Net of Position and Length arXiv:2602.00459,Findings of EACL, 2026

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.503765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45126a56-a9e6-456c-ba1c-18ddf0422b62 · outbound

This paper cites Searching for Effective Neural Extractive Summarization.ACL, 2019.

Measuring Alignment With Reader Highlights Net of Position and Length Searching for Effective Neural Extractive Summarization.ACL, 2019

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T02:18:43.506872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b5ee8390-b019-4969-adb0-fdedacb5e644 · inbound

Language Models Agree With Each Other, Not With Readers cites this paper.

Language Models Agree With Each Other, Not With Readers Measuring Alignment With Reader Highlights Net of Position and Length

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T10:20:13.492647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.