Paper Citation Record · LEDGER

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2601.18395.

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

pith.paper-citation-record.v1
2601.18395 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:03:02.822098Z

measured 36 of 36 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 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

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fadd9965-6edf-45fd-955a-cd3856355f17 · outbound

This paper cites an unresolved cited work.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.048909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69e220e3-3948-4374-9997-d86478cace45 · outbound

This paper cites Iterative document-level information extraction via imitation learning.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Iterative document-level information extraction via imitation learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.112113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc9aca7-94e1-469a-bf12-9acf28a13f05 · outbound

This paper cites Are more LLM calls all you need? towards the scaling properties of compound AI systems.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Are more LLM calls all you need? towards the scaling properties of compound AI systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.183016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c646aea4-d7b4-44d2-b1e0-424a8e8ffc8f · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.277035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9581ef07-89bb-41e0-b417-292a89780466 · outbound

This paper cites Rethinking negative instances for generative named entity recognition.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Rethinking negative instances for generative named entity recognition

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.423147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e274f9d2-08fe-4a50-9814-dfc9aa2b9127 · outbound

This paper cites Template filling with generative transformers.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Template filling with generative transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.550635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f0ec64-fcb9-4ec8-ba23-5794e1d73134 · outbound

This paper cites M ulti MUC : Multilingual template filling on MUC -4.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction M ulti MUC : Multilingual template filling on MUC -4

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.667196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c1245f-d25e-4a56-afcf-5b69405a4a71 · outbound

This paper cites an unresolved cited work.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.771492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d4b125-d5b0-4418-a18a-06dfd2395cb9 · outbound

This paper cites The llama 3 herd of models, 2024.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction The llama 3 herd of models, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.859406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93121978-ad99-4aa2-86fb-fde1774d56a0 · outbound

This paper cites M essage U nderstanding C onference- 6: A brief history.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction M essage U nderstanding C onference- 6: A brief history

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:00.972185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a4b2064-f03e-474c-a4db-149b409ef901 · outbound

This paper cites Twenty-five years of information extraction.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Twenty-five years of information extraction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.058403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcadf22f-daa3-4400-8b7f-1f45a9584ddc · outbound

This paper cites Document-level entity-based extraction as template generation.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Document-level entity-based extraction as template generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.148217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b390e55b-58c7-44a1-bd0d-b903aad39e9e · outbound

This paper cites Openai o1 system card, 2024.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Openai o1 system card, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.232096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b227834-9e2d-4eb4-9ce7-b4c063749329 · outbound

This paper cites S ci REX : A challenge dataset for document-level information extraction.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction S ci REX : A challenge dataset for document-level information extraction

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.347519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ad4df3a-bd0a-4505-9bca-106326e2dae1 · outbound

This paper cites Overview of the tac 2010 knowledge base population track.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Overview of the tac 2010 knowledge base population track

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.427166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b611d58a-4ce2-42bf-b622-252c359c3a99 · outbound

This paper cites Document-level event argument extraction by conditional generation.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Document-level event argument extraction by conditional generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.486837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e432ee1e-97ec-4eec-9fda-3af40eca8e4d · outbound

This paper cites Revisiting large language models as zero-shot relation extractors.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Revisiting large language models as zero-shot relation extractors

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.536261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72ff3577-4c25-49f7-8286-3d62a24dd0d4 · outbound

This paper cites Let's verify step by step, 2023.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Let's verify step by step, 2023

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.576351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f812299-717e-4d81-9995-4cb4330542af · outbound

This paper cites The IARPA BETTER program abstract task four new semantically annotated corpora from IARPA ' s BETTER program.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction The IARPA BETTER program abstract task four new semantically annotated corpora from IARPA ' s BETTER program

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.703570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be371e56-6df3-4ae2-a899-a5894b78601a · outbound

This paper cites an unresolved cited work.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.817201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b5aef6-6aed-4cd8-8f32-c1b627a04471 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models, 2020.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Zero: Memory optimizations toward training trillion parameter models, 2020

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:01.905870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53561aa2-dec1-4919-8b64-c0c3a3276b03 · outbound

This paper cites Gollie: Annotation guidelines improve zero-shot information-extraction.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Gollie: Annotation guidelines improve zero-shot information-extraction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.013279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7340175-91b0-471b-954b-e94ee342eb0b · outbound

This paper cites Scaling llm test-time compute optimally can be more effective than scaling parameters for reasoning.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Scaling llm test-time compute optimally can be more effective than scaling parameters for reasoning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.067772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e55d6bb-307b-4e22-b4cb-dd394766051d · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models, 2023.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Llama 2: Open foundation and fine-tuned chat models, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.116162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96b7c3bb-6df4-4cf7-8e53-a54722e9e97a · outbound

This paper cites Revisiting relation extraction in the era of large language models.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Revisiting relation extraction in the era of large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.170782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a53aa7-83e5-4f86-ba70-0f4eeea8f06d · outbound

This paper cites Ace 2005 multilingual training corpus.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Ace 2005 multilingual training corpus

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.220156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f4b044a-451a-48c7-a44b-d7c53f30f70a · outbound

This paper cites GPT - RE : In-context learning for relation extraction using large language models.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction GPT - RE : In-context learning for relation extraction using large language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.296766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf4c9835-9716-4fab-828f-c85bd77b0048 · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.353013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31fc6fa1-00d9-4fb8-b58c-f93677ea1735 · outbound

This paper cites Inference scaling laws: An empirical analysis of compute-optimal inference for llm problem-solving.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Inference scaling laws: An empirical analysis of compute-optimal inference for llm problem-solving

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.411513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e774f8f-8bfd-4353-9263-c6545724fa62 · outbound

This paper cites Qwen3 technical report, 2025.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Qwen3 technical report, 2025

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.434690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3227806-7e3e-4843-905c-1d87b3fe7853 · outbound

This paper cites an unresolved cited work.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.517929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f98b5e6-c1f5-493b-99ec-a52a42ecf54f · outbound

This paper cites In-context learning for few-shot nested named entity recognition, 2024.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction In-context learning for few-shot nested named entity recognition, 2024

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.542551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9871a205-1cec-4911-bacb-5629e6e30a83 · outbound

This paper cites A survey on test-time scaling in large language models: What, how, where, and how well?, 2025.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction A survey on test-time scaling in large language models: What, how, where, and how well?, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.599179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebdb05c2-3310-416d-bfe0-9cc81e0bafa2 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.683547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6910e2bd-a8c9-4ad1-82bf-c5e1ec703b0a · outbound

This paper cites A survey of generative information extraction.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction A survey of generative information extraction

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.759297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b75276-eb1d-4566-afec-1de8e31f947c · outbound

This paper cites write newline.

Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction write newline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T08:03:02.822098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.