Paper Citation Record · LEDGER

Multi-Relation Extraction in Entity Pairs using Global Context

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.22926.

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

pith.paper-citation-record.v1
2507.22926 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:49:32.380008Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

42 of 42 outbound references displayed

verified exact18
verified fuzzy17
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 447e52de-5141-4825-8576-879641d60cd6 · outbound

This paper cites Relation Extraction : A Survey.

Multi-Relation Extraction in Entity Pairs using Global Context Relation Extraction : A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:32.144114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6350dbd-db38-476e-aa92-6fcf56e922fd · outbound

This paper cites A Comprehensive Survey of Document-level Relation Extraction (2016-2023).

Multi-Relation Extraction in Entity Pairs using Global Context A Comprehensive Survey of Document-level Relation Extraction (2016-2023)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:32.150626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 111853d6-a90c-4bf8-a4cc-923960300e3f · outbound

This paper cites A comprehensive survey on relation extraction: Recent advances and new frontiers,.

Multi-Relation Extraction in Entity Pairs using Global Context A comprehensive survey on relation extraction: Recent advances and new frontiers,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.255825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd6f5089-c5d2-4222-bacf-7c18eea77497 · outbound

This paper cites Dual-channel and hierarchical graph convolu- tional networks for document-level relation extraction,.

Multi-Relation Extraction in Entity Pairs using Global Context Dual-channel and hierarchical graph convolu- tional networks for document-level relation extraction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.240061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 920430ea-4823-4bd1-8c62-9db64b504dfa · outbound

This paper cites Document- level relation extraction with global and path dependencies,.

Multi-Relation Extraction in Entity Pairs using Global Context Document- level relation extraction with global and path dependencies,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.224853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 729a9ce9-29b7-4d81-840d-b88ed22930c3 · outbound

This paper cites Corex: Document-level relation extraction framework with consistent two-hop reasoning and evidence sen- tence prediction,.

Multi-Relation Extraction in Entity Pairs using Global Context Corex: Document-level relation extraction framework with consistent two-hop reasoning and evidence sen- tence prediction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.209439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dc4a23b9-3fb4-40e8-8d87-6db59a539633 · outbound

This paper cites Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network.

Multi-Relation Extraction in Entity Pairs using Global Context Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.933478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1464c426-158b-49e8-a8b7-812fe8b18ca2 · outbound

This paper cites Document-level relation extraction with adaptive thresholding and localized context pooling,.

Multi-Relation Extraction in Entity Pairs using Global Context Document-level relation extraction with adaptive thresholding and localized context pooling,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.194195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 17361b7d-df92-47dd-aa3d-e15b489eea17 · outbound

This paper cites Entity structure within and throughout: Modeling mention dependencies for document-level relation extraction,.

Multi-Relation Extraction in Entity Pairs using Global Context Entity structure within and throughout: Modeling mention dependencies for document-level relation extraction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.178391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa9fbbde-273a-4038-b602-ab4c4a8732da · outbound

This paper cites Relation classification via convolutional deep neural network,.

Multi-Relation Extraction in Entity Pairs using Global Context Relation classification via convolutional deep neural network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.162396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2be84594-edee-4eec-9488-8f0cf15dd152 · outbound

This paper cites Bidirectional recurrent con- volutional neural network for relation classification,.

Multi-Relation Extraction in Entity Pairs using Global Context Bidirectional recurrent con- volutional neural network for relation classification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.146717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a0b2ad7-abd0-46c7-9254-313eeec136f6 · outbound

This paper cites PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.909787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3c8e2167-59e9-4970-a276-eece13be6784 · outbound

This paper cites DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

Multi-Relation Extraction in Entity Pairs using Global Context DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.883227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea32cbf8-8674-4581-8a21-fdb2d759ba4a · outbound

This paper cites an unresolved cited work.

Multi-Relation Extraction in Entity Pairs using Global Context Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:49:33.129797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 337a582e-3c97-4f8a-9191-87b5f85288db · outbound

This paper cites Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs.

Multi-Relation Extraction in Entity Pairs using Global Context Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:32.228756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ce7be7e-93aa-4814-859c-16682c911812 · outbound

This paper cites Distant Supervision for Relation Extraction beyond the Sentence Boundary.

Multi-Relation Extraction in Entity Pairs using Global Context Distant Supervision for Relation Extraction beyond the Sentence Boundary

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:32.234505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e283e6e3-3df9-4203-86c7-2fca5825eade · outbound

This paper cites Reasoning with Latent Structure Refinement for Document-Level Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context Reasoning with Latent Structure Refinement for Document-Level Relation Extraction

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.816686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0621930c-5ba2-44c1-a9b2-38e62e6f3225 · outbound

This paper cites Global-to-Local Neural Networks for Document-Level Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context Global-to-Local Neural Networks for Document-Level Relation Extraction

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.789599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6dd117f2-a88b-4eff-9a2a-81b31d6a1ff7 · outbound

This paper cites Double Graph Based Reasoning for Document-level Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context Double Graph Based Reasoning for Document-level Relation Extraction

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.765673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9b5e35ba-f0f8-44a1-a062-a8b78244e811 · outbound

This paper cites Graph enhanced dual attention network for document-level relation extraction,.

Multi-Relation Extraction in Entity Pairs using Global Context Graph enhanced dual attention network for document-level relation extraction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.114391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89d0ddc1-4049-4220-b78a-079926b1d629 · outbound

This paper cites Document-level relation extraction with dual-tier het- erogeneous graph,.

Multi-Relation Extraction in Entity Pairs using Global Context Document-level relation extraction with dual-tier het- erogeneous graph,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.099477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 834592e8-48f6-46dc-9918-f2bfd8afea4f · outbound

This paper cites Mrn: A locally and globally mention-based reasoning network for document- level relation extraction,.

Multi-Relation Extraction in Entity Pairs using Global Context Mrn: A locally and globally mention-based reasoning network for document- level relation extraction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.083545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6709b6b-3d7e-4ca3-b6ab-720013e603a1 · outbound

This paper cites Document-level relation extrac- tion with reconstruction,.

Multi-Relation Extraction in Entity Pairs using Global Context Document-level relation extrac- tion with reconstruction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.066335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ff1020a-3cb5-4f85-99dd-4f9457eae8ca · outbound

This paper cites Entity structure within and throughout: Modeling mention dependencies for document-level relation extraction,.

Multi-Relation Extraction in Entity Pairs using Global Context Entity structure within and throughout: Modeling mention dependencies for document-level relation extraction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.049808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d5552fcc-bfdd-443e-bfaf-db1754133ff3 · outbound

This paper cites Learning Logic Rules for Document-level Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context Learning Logic Rules for Document-level Relation Extraction

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.741277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cda44d1c-490c-4dce-86bf-54698a5b881f · outbound

This paper cites Modular Self-Supervision for Document-Level Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context Modular Self-Supervision for Document-Level Relation Extraction

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.717615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f71e7bbd-f5cf-4a28-a630-4fbdcb958253 · outbound

This paper cites Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.694723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f76dc9f-f335-473b-bd0b-813555293632 · outbound

This paper cites Rebel: Re- inforcement learning via regressing relative rewards,.

Multi-Relation Extraction in Entity Pairs using Global Context Rebel: Re- inforcement learning via regressing relative rewards,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.033845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5ac8aa7b-e41c-4b37-9811-9f306f65876c · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Multi-Relation Extraction in Entity Pairs using Global Context BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:32.305476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af290ae7-52b4-4686-a729-69b6c9a4a059 · outbound

This paper cites SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.652045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a3eec53-4920-4a51-ae7f-26ffba656bf8 · outbound

This paper cites Discriminative Reasoning for Document-level Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context Discriminative Reasoning for Document-level Relation Extraction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:32.316481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3ec281-fb41-42dd-85a6-061ed74bab0b · outbound

This paper cites Document-level Relation Extraction as Semantic Segmentation.

Multi-Relation Extraction in Entity Pairs using Global Context Document-level Relation Extraction as Semantic Segmentation

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.610995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation de6906b0-2d1e-4b59-89c8-384d96f5e096 · outbound

This paper cites A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling.

Multi-Relation Extraction in Entity Pairs using Global Context A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.585789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 462d1ebc-c379-4ed7-8199-54306af8ce9d · outbound

This paper cites Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation.

Multi-Relation Extraction in Entity Pairs using Global Context Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.559508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5ca800d-1022-4744-b17b-a5b3451f902a · outbound

This paper cites SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.530843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9bf4e08a-9dce-4645-9409-95a994970296 · outbound

This paper cites DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction.

Multi-Relation Extraction in Entity Pairs using Global Context DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.506799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f35aa0a6-4d59-49b4-b2cf-8ebb640df2a2 · outbound

This paper cites Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion.

Multi-Relation Extraction in Entity Pairs using Global Context Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.483364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa95eac1-1672-4b4d-906c-a2459c4f5193 · outbound

This paper cites Enhancing document- level relation extraction by entity knowledge injection,.

Multi-Relation Extraction in Entity Pairs using Global Context Enhancing document- level relation extraction by entity knowledge injection,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.018430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ff537121-729f-42c3-835a-acc76c3a2b30 · outbound

This paper cites RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.

Multi-Relation Extraction in Entity Pairs using Global Context RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.459572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 09933673-ce70-4d25-ac5f-34eec1d32a65 · outbound

This paper cites Recon: relation extraction using knowledge graph context in a graph neural network,.

Multi-Relation Extraction in Entity Pairs using Global Context Recon: relation extraction using knowledge graph context in a graph neural network,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:33.001339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6b9e70f2-cbee-4c54-b16f-7821c422e84d · outbound

This paper cites Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution.

Multi-Relation Extraction in Entity Pairs using Global Context Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:49:32.435399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f28d807-ea8c-4ecc-ab4c-75475bbdf057 · outbound

This paper cites Revisit- ing document-level relation extraction with context-guided link prediction,.

Multi-Relation Extraction in Entity Pairs using Global Context Revisit- ing document-level relation extraction with context-guided link prediction,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:49:32.984797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.