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Paper Citation Record · LEDGER

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction

As of 18 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2501.02196.

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

pith.paper-citation-record.v1
2501.02196 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:00.866472Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

63 of 63 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved18
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 982bdc6e-8353-4ceb-b6ce-dcfac6b2cbd3 · outbound

This paper cites In: ACL 2020.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ACL 2020

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.490672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.129741Z digest=sha256:c10aec24c5787ba4fa141e7300b260e8e5b9d22c9ae2dce7c7f3a3f7bc417ee4

Observation fd95746d-766a-4a7d-b8c1-3975c97219c8 · outbound

This paper cites In: EMNLP-IJCNLP 2019.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP-IJCNLP 2019

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.468813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.136570Z digest=sha256:ce2ff5c75c97a6967c1a99cdab683f801392e9a3b785171a767315ac80d27928

Observation fdd8afbf-a537-4983-9e24-22561a914386 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.440661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.144000Z digest=sha256:f4084c0da68b4cc914e9023606fda5379bed7bb6ef505ac855f58d065c1a7a0c

Observation c2185fc1-c7d4-4a59-9cc8-6854791df93f · outbound

This paper cites In: ICML 2009.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ICML 2009

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.417867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.150741Z digest=sha256:ac67d0e22092207b1a0ec9aa2dde78048abef61fd54ebb6d785f50643a76f6cb

Observation 0119e9e4-13c7-42da-840a-27f3c28cb2f4 · outbound

This paper cites Advances in neural information processing systems 33, 1877–1901 (2020).

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Advances in neural information processing systems 33, 1877–1901 (2020)

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:00.158628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:00.158628Z digest=sha256:e270fdf84efab4189cfc79792354d1aee5e93a60d65557f4f2c47e3e9807b790

Observation 7515b19f-c98a-4177-9c64-50be285de07a · outbound

This paper cites In: WWW 2022.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: WWW 2022

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.382355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.165498Z digest=sha256:5080b48b8eb55e16c078516d092d5b8b44179f8576ae876ee7255fa7ca8350d8

Observation c4ebcd8d-9d5c-4294-983f-6d31111e835e · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.357311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.174012Z digest=sha256:56358ccfcec405b7fea13112adecf6272091b2329e8de0f94e4b2c009b305806

Observation 20557972-8953-4c84-9391-2b4c6eb5b5e8 · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:02.336496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.180361Z digest=sha256:3fbfce96ec56a8dfb192d5dcd7569ea9e9c97514dfa62a74cc616b9b3cbc0430

Observation ffebe064-eb6b-4703-81b2-299c65584dcb · outbound

This paper cites In: NAACL-HLT 2019.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: NAACL-HLT 2019

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.318808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.187597Z digest=sha256:60f3eecb4d3894d62d71b3f7c9e76e02a1e020ffa17832670d5fd6dfc0bb24dc

Observation fe877b7c-c77b-4bcf-889a-f8a8fccbe4ba · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:02.300770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.194239Z digest=sha256:26de8619d479044f152bb4d14c2a72a2bd3c2fecd943d9d6dcfc8e6532772de9

Observation d3ec8456-73bf-4e0d-86fe-ffa97203cc6d · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2022.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Findings of the Association for Computational Linguistics: EMNLP 2022

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.271245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.201331Z digest=sha256:edb1641f6054be02057df0fda29dcfda86f301e0af725a7b72af3a87e4712160

Observation 2773fd88-17ed-4e84-9276-24387c01d050 · outbound

This paper cites AI Open 3, 182–192 (2022).

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction AI Open 3, 182–192 (2022)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.251154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.209056Z digest=sha256:cb3393733ef549644e4bb2c9b8882b5dd8d1e1e35174b73628f5469288e5fcf1

Observation 9280fd4d-5299-4e75-950e-864a5fbbde6d · outbound

This paper cites Complex Relation Extraction: Challenges and Opportunities.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Complex Relation Extraction: Challenges and Opportunities

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T22:19:01.170120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.218439Z digest=sha256:04476b4424085d2ec17b4b87604c621663329a173f8e722967091fe86fc87b10

Observation 018911d3-e753-44ad-82bb-0243278905e8 · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:02.233792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.227234Z digest=sha256:01a8b7eda4b431a4934aee16c7848225ff7f54e6242bd7a2e88cd2034237f3d5

Observation ccc0297c-7497-460b-8130-4234ec1a59d0 · outbound

This paper cites In: Proceedings of the 2022 Conference of the North Amer- ican Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Proceedings of the 2022 Conference of the North Amer- ican Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.214637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.238815Z digest=sha256:727a487e40200c17c62357c02740259acc65b4a18a053be03279b2ce9eaee723

Observation 45949271-a483-4467-a944-1a756b9cf172 · outbound

This paper cites In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.193352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.245756Z digest=sha256:022964a1ceb1f55cec5256ef9d3d5e128fed300fe2ed848ae89099396898c8e7

Observation 12ba8953-b650-4781-8615-e5b27fba9bc8 · outbound

This paper cites In: CoNLL 2017.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: CoNLL 2017

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.170483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.251625Z digest=sha256:ce7d3df84c5f261d75a1bb3aadeecbb542803f18142223d2d6354f7f8bd9f2d0

Observation 115bac21-73d2-4601-9204-2bb6566e975a · outbound

This paper cites In: ACL 2020.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ACL 2020

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.144328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.258262Z digest=sha256:1fcb5928db3c799fb4f27347ca2a6b711ec6ba515d3cbd3630bc17aebfaefba8

Observation 353055ac-0c94-45db-aff1-10465f672af5 · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:02.121348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.267340Z digest=sha256:7f3fc7520f3e760ddef417a439dfdd02dbef9c20ab1239a0feeffb93b38305ce

Observation 8e97937e-e8ad-4356-9de4-5f32ba4391fd · outbound

This paper cites In: ACL 2019.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ACL 2019

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.099195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.273285Z digest=sha256:5b5d091bf258a4290d8c1ee65b34890723de312c79fb096b298ecddc6020c66d

Observation 06badb68-7be1-4eb8-bf09-c591b2fb5b1b · outbound

This paper cites In: IJCAI 2020.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: IJCAI 2020

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.074049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.279087Z digest=sha256:62567b7d02f1f62d5f7c4a380d702b19f72df1a47980f2e40dd9288fd8aecee7

Observation 6910ec4a-3235-490c-b9dd-b9816cf40531 · outbound

This paper cites ACM Comput.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction ACM Comput

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.053071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.286463Z digest=sha256:0c2f891ffe74996ca94862350df148e6f5663cac821e2dc5df59355c5be777d6

Observation b8124222-bade-4496-a76c-5c7ad2a33299 · outbound

This paper cites GPT Understands, Too.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction GPT Understands, Too

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:00.292545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:00.292545Z digest=sha256:fac463b47aaba99b9d919f57f3c8cabbdd752224fcb6864cff9b11c9a0290eed

Observation 61f9c922-3e56-44f1-a0c1-bb1a9b73f0e7 · outbound

This paper cites In: ACL 2020.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ACL 2020

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:02.028594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.300293Z digest=sha256:852ee3a99d2169eb6fdc8637eddc4958088fc1d083468ab9b7c2381247e8a339

Observation f57deec2-8b61-4cda-88c0-c0fd1f6d1e41 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:00.307337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:00.307337Z digest=sha256:b7a39f56f9928e65b8639840cab2d8e670b557ee0af1f2ff239594aa942986f2

Observation a95a1672-9eda-447f-a620-35b8cddb2a41 · outbound

This paper cites In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.998107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.317384Z digest=sha256:807f240236cc0c8377a4c9784971131dfa1153a045a5ff97ec48348161620588

Observation f447b031-d775-4f27-a1ef-c56fbffd5406 · outbound

This paper cites Decoupled Weight Decay Regularization.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Decoupled Weight Decay Regularization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:00.325819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:00.325819Z digest=sha256:ee2a8e5b07bd4476128d09ece7d4a57e5bc4c95d9317d3cb9bf091d11075b74d

Observation 7b0b31c2-859c-49cb-bc3f-6bee95ea49d3 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2022.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Findings of the Association for Computational Linguistics: EMNLP 2022

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.971986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.334072Z digest=sha256:172fcfbcda18c4e66e1159d835e821c6c55976f24c52ab4de6f2b6c8932e52f4

Observation 3b5aefe4-0110-4985-bbcf-82fb5d52224b · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.946573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.342884Z digest=sha256:88fd3f21372ee50e146d7d9d533a375a6b947cf4d2fb9f3bbb59195d057c692d

Observation 809675f7-d0a8-4988-b5e8-a40a433d1123 · outbound

This paper cites In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.919630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.350543Z digest=sha256:17145aa4cd2cbb4ac69acde6a507848bdc4bf9f7609cb46a91fccdfedba89279

Observation 4528d76b-bf95-4b28-bd62-273642f29d27 · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:01.894952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.356457Z digest=sha256:bffc86afd17de33f25c58c91420f92c71e44461f1419528cf99cd23d5b950a0c

Observation fd343db3-07d5-483a-af62-ae5eb783c254 · outbound

This paper cites In: Proceedings of the first workshop on fact extraction and VERification (FEVER).

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Proceedings of the first workshop on fact extraction and VERification (FEVER)

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.871963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.362504Z digest=sha256:ce89ccb8cfad077ea6e017012181736129f737102c11623334488ff250367dcb

Observation c18f812f-0016-4459-8bd2-37646a9dc996 · outbound

This paper cites In: ICLR 2021 (2021).

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ICLR 2021 (2021)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.849904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.369888Z digest=sha256:371f08bfd48a7541e5fff558d0ebdb72fc94b2cc51269d7a6b51964b2fd37bbd

Observation ba7f610e-dd8e-4298-9efa-ea61753695e5 · outbound

This paper cites Improving Sentence-Level Relation Extraction through Curriculum Learning.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Improving Sentence-Level Relation Extraction through Curriculum Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:00.375554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:00.375554Z digest=sha256:ec555b790f166ff289d3a555eeecb3089dfe58d9499296be7fa5ecf9d8a946c7

Observation ce55f65a-41a1-4275-9dab-6d2ef36c4ca7 · outbound

This paper cites In: EMNLP.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.827259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.382667Z digest=sha256:065d1cad12dd8088c901a844e8d38715d97c12f334715eeb4fe636767c6c50b2

Observation 2a6d4020-c33b-47ea-a580-c279592d61ef · outbound

This paper cites In: EMNLP-IJCNLP.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP-IJCNLP

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.783384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.398099Z digest=sha256:33bf7c6ed194d8f7a026c3e5c92be95bdddc3c638317a315d9a4a444763de1f2

Observation acfdf29c-5383-4520-90ba-f2d0e797e483 · outbound

This paper cites In: NAACL-HLT 2019.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: NAACL-HLT 2019

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.762003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.403729Z digest=sha256:8048ee380e79d06d00971014b42d9b813c563b17c2a4c250e86b2f933d97ccc0

Observation f5e577de-96b2-433e-b723-9c2348fdfab4 · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:01.737539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.409562Z digest=sha256:1da652dbd507f4e3b6d4e1b0df9a9b7f4b4a3e2a71e18cf66e6b7731480bd1aa

Observation e61e8deb-5335-4ff8-8748-b483f7a625fc · outbound

This paper cites In: Balc´ azar, J.L., Bonchi, F., Gionis, A., Sebag, M.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Balc´ azar, J.L., Bonchi, F., Gionis, A., Sebag, M

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.716254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.415814Z digest=sha256:75c502c45dcc8a45aba5c0c48c1913694b2d8cf38c2d4092c283cc0827dd1574

Observation 98c1ed7f-33f9-4540-8487-183496b9ea8c · outbound

This paper cites Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:00.424159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:00.424159Z digest=sha256:724fd3dd09c697f3b4afad325200aff0769308890e0bbb78a87214c804109313

Observation b8d24b73-2827-434c-8ef9-2facc0c52e20 · outbound

This paper cites In: ACL 2019.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ACL 2019

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.690722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.432610Z digest=sha256:4cac175d419e3133b7e0df07a141da8884f7c291ce6a57a339d6b7d6e0551705

Observation d8e8de97-cbc3-44f2-9de7-37b1d89c6499 · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:01.670388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.438835Z digest=sha256:db34acaba566ddda9a6bef02e452f44759f7c51655783374735d2fafce224d49

Observation 08a954a2-93b0-4ffb-8d2b-f23359f2701c · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:01.642977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.447140Z digest=sha256:1654e06c4b57ce2e902832e0e3441e1fd993cc04a1013e3204fcd5c1b09fbd54

Observation 366c44ba-3d61-4b39-bf72-0ecce093c324 · outbound

This paper cites Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:00.453497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:00.453497Z digest=sha256:8086bb1773dce8fdc7946430f847fd7c459d0182b032e3b6c644e01b204be6d7

Observation 7ebe0efa-ecdd-4256-bd21-1b9a854de325 · outbound

This paper cites In: EMNLP 2021.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP 2021

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.621694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.459761Z digest=sha256:e3911158ad5eaff3f1815e010cfd447e0359e53922b6ae9df3a0bded7c31ec84

Observation 18ffbf36-3737-429b-9519-a8efbb57f76a · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.590194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.466450Z digest=sha256:daf9bb845af441a2d590c5a129b86b923b32297fcb69878f67d94409247cad53

Observation 6be180be-89ac-4e30-b4e4-2185d6132171 · outbound

This paper cites IEEE Trans.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction IEEE Trans

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.551314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.487955Z digest=sha256:8fec562bf5f6f564a5226946e997e801a4c0084186edd052b4dd1c15bbfeeb6b

Observation 50fa5e31-fd69-47d9-b7ee-d05938e08516 · outbound

This paper cites In: EMNLP 2020.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP 2020

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.530555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.513525Z digest=sha256:5989f744fbbb9ab4377e4b1b103bee0f176b3fca978cb4860de2866e11a8e6af

Observation d86b5617-61ef-4aa4-8e06-cc640f6660f6 · outbound

This paper cites In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.509623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.532410Z digest=sha256:e17e4e0886d326f63d7f15f202c243c4d69919ec205798aedb301b95c2777f89

Observation 1e91a031-68b3-4334-aae9-a08a2e039db5 · outbound

This paper cites In: ACL 2020.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ACL 2020

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.480119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.566642Z digest=sha256:0be93e609a1e64f79f989fbdd9dde961a649559efe6fded43d4b0e863d177d71

Observation 1e2b8525-33bc-4269-b1ba-ced69ecd7f63 · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:01.455826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.600458Z digest=sha256:10d9aefa0d82a052d49d54d2c96f9658fe3448064aa0e42919d4a657c18ca47e

Observation ad32ddf2-857e-4bbd-887f-71a82381dcea · outbound

This paper cites In: EMNLP 2020.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP 2020

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.429047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.626998Z digest=sha256:1b46a0ed72d5a4de6f3c3c5c28d8e5056ba5d0ee18e1becc3badd3712f13c9b1

Observation 9d80d5ab-b395-4d6e-84c3-1edd8792f1b5 · outbound

This paper cites an unresolved cited work.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:19:01.404813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.650199Z digest=sha256:e3f989e8cc2053c6f8b3086603a625ba70f8b00c21c986e6d64f8d2fe38f6d24

Observation 9b055686-2c28-4793-9fb8-ca6acef28b78 · outbound

This paper cites In: NAACL- HLT 2021.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: NAACL- HLT 2021

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.372010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.679277Z digest=sha256:64666a7a7b46b23dd0b968ce3527eb53b0ca90ae97fc684c7d5382b54cec3ab1

Observation 705c12ef-fa45-4487-867c-2af027d63505 · outbound

This paper cites In: EMNLP 2018.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP 2018

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.339371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.711668Z digest=sha256:2250668d69d83c33c644c8a1b95dea7a2d4baf82b98d8d2633c4f6e8b6778bef

Observation 704f4aef-f111-4f02-b3fe-65241326de06 · outbound

This paper cites In: EMNLP 2017.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP 2017

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.306345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.750569Z digest=sha256:1fe72ab7a54428c91c3ac8b7ab90b7a8ab729136eabd56bf4be043206d641284

Observation e23d8513-8abb-4163-8562-4b0cfd3cb034 · outbound

This paper cites In: ACL 2019.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ACL 2019

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.277014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.789590Z digest=sha256:30b5dfa3c137dce12d01a2d24d128c402efc06c84a4dad6adf277f3ff373039f

Observation 7211c5fd-a61d-4dcb-9d88-8b16535717ec · outbound

This paper cites A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T22:19:00.830515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:19:00.830515Z digest=sha256:c35eebf104a3c53d3105c330afd278215dd5f54978d1905de87911c7bf983d9f

Observation 482ab9d8-f5eb-4949-8336-cddb3df97f27 · outbound

This paper cites In: EMNLP 2020.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP 2020

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.254123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.845368Z digest=sha256:c0de45fcd310d06d1f1e9dc01702fb8c7063992678f0ed46bc53cc5661e405a6

Observation 12866448-5fcd-457a-9bdc-690bf0d4e846 · outbound

This paper cites In: EMNLP 2021.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: EMNLP 2021

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.235957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.850956Z digest=sha256:cf421c494e91daf9c027633c7e68f5c81961e43f13e06ef5e991a1cb86f58c02

Observation 0a3daf01-8a4f-4723-84b4-76fc5fb70ea7 · outbound

This paper cites In: AACL/IJCNLP 2022.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: AACL/IJCNLP 2022

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.215657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.856994Z digest=sha256:562beb9df4677fdeb91b742e1a695cb1be8c5971060f70190dc70f97d569c700

Observation 67af0c97-53b1-4b99-aac6-f262c9ad7923 · outbound

This paper cites In: ACL 2020.

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction In: ACL 2020

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:19:01.196587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.866472Z digest=sha256:01f581171c7539997085b193393aa1e5b878fe33ebdb2dad3aeab9352bf52e6b

Observation d2cb9c5a-a89b-44e7-b369-f8a5c7e5f66b · outbound

This paper cites 3661–3672 (2020).

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction 3661–3672 (2020)

Reference 2020

Resolution
parse uncertain
raw_fallback, observed 2026-08-10T22:19:01.806470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T22:19:00.390874Z digest=sha256:d82aaaa07338d59f010d44e7597208d3475c6a9c506d3d11547a8ef608d7a118

Pith citing papers

No inbound Pith citation observations are available.