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Paper Citation Record · LEDGER

Generating Diverse Training Samples for Relation Extraction with Large Language Models

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.23108.

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

pith.paper-citation-record.v1
2505.23108 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:57:59.154388Z

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
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2cd1b35-c554-4343-a511-3d25fbe26d97 · outbound

This paper cites URL: " 'urlintro :=.

Generating Diverse Training Samples for Relation Extraction with Large Language Models URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:56.282957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:56.282957Z digest=sha256:c5fa86c31d61a05b534a4449110f4aaf97c74b6fd0011aaa0662833c7d87f72f

Observation d7b7dafe-d14e-4d53-8754-e79c6680894e · outbound

This paper cites write newline.

Generating Diverse Training Samples for Relation Extraction with Large Language Models write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:56.355608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:56.355608Z digest=sha256:b1a1aaf0931252c89a41e953449fd01c4c62e304dc848168bde0d230ab0d5d49

Observation 10512153-85bc-4bf8-83a8-1574681eda48 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:56.515745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:56.515745Z digest=sha256:58ad3a09a40a1b4399aa564fb768d69da8808caeb1b25945ea1078975e60cc5e

Observation 201f8d09-878c-45b6-9e71-b4f95b4bdf05 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:56.585514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:56.585514Z digest=sha256:f52a0592d38dced54dcba5f80b3bdf4ef72c4581da7537b51d6452aa0fbee924

Observation f4b628b8-f565-46b4-aeb9-2bb4a842d3ec · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:56.654366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:56.654366Z digest=sha256:92a44b38128db3ece311c4d9f7240e4791b5b3ede59f9842bc48deb63b5e0f23

Observation 8249d12f-a01a-4e64-8bd6-648035ff27c2 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:56.724724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:56.724724Z digest=sha256:8d8dcd4d4a3363b69b17e90cb9af7e44c3b37b4acc4ee7e6f3965272afa6d6c4

Observation 061eb9e8-22a6-461d-82ec-54cee712e53c · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:56.792596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:56.792596Z digest=sha256:15404bb54f60e1562ac7c728fe054a90d9fdc72f456388573c39578f2ad2ff5a

Observation 58cc4c32-14cc-4537-b1e3-b0bfe9f35a13 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:56.882105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:56.882105Z digest=sha256:440177a9d46f1cc44cd493ee914e9bb779102c9b8ac38119035e75090b81f273

Observation a1054a52-c2c0-4057-84bb-d74a41106c57 · outbound

This paper cites A Survey on In-context Learning.

Generating Diverse Training Samples for Relation Extraction with Large Language Models A Survey on In-context Learning

Reference 9

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unresolved
no resolver link, observed 2026-08-07T12:57:56.951364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:56.951364Z digest=sha256:e485e1193fc34f939ea27fdac1b3cacb9866cb1154026cb6f31766212108a03e

Observation c623a354-1b54-4af8-b631-2d267b846745 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.023650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.023650Z digest=sha256:9ae71d0e11fa03e62c3db2a35b53c18d976ef64a8ec7c3ccfc9afaf2728ebc98

Observation cbe94b6e-7bc7-4f0b-8467-137b08667170 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.085228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.085228Z digest=sha256:d9cfb5f395e2ac8c61e74e4426038bb3609f070973063718f3cd9310c4dcd2e2

Observation aad6f9b2-d1f9-4284-b9e6-814525eae090 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.168547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.168547Z digest=sha256:4639cbe4720ece9d7ce0140c8f483146467922df17695a80f8a040c40b718404

Observation 33c5297b-79fe-46d3-9e7f-66a61439b1d3 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.218180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.218180Z digest=sha256:85e12bd74706804499c5b7521debc53fb605703bd11e334a80439b311c1752bc

Observation 47653a77-654e-481b-84e9-ce9810e594ed · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.295161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.295161Z digest=sha256:6f826657e0871af6346331917abb2c9fc6c6362d31b99baec1713514ffea30b4

Observation 62be3e80-9e54-4d7a-be0c-0e8c9f23b729 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.376917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.376917Z digest=sha256:cd2dfefaac3bba7f6602ae42cd46623d0c218fb43502c829ab8682c2c4d6995f

Observation 04c0f3ed-b374-40e3-96dc-80ad2afe6a52 · outbound

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

Generating Diverse Training Samples for Relation Extraction with Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 16

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unresolved
no resolver link, observed 2026-08-07T12:57:57.451288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.451288Z digest=sha256:4262b6a70f1a18eb67b09e581daec7b874cc3f132e8cd229518758f95cc646a1

Observation 47210b54-84ea-444f-bf2c-ffd363e3f70c · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.553961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.553961Z digest=sha256:aec16a62ebe51874db14db292664a59a6dda428410da1815af618eb9fdbadbeb

Observation 303a6522-3ad1-42bd-8098-cd05f0acd446 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:57:59.877750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:57:57.623939Z digest=sha256:a13e96a2eb8e0a5004cbbff9bd730ff047f39cbfe0c6f00bdf6309ee5c880769

Observation b8542529-126d-4a0e-add0-f23a41a651cc · outbound

This paper cites GPT-4 Technical Report.

Generating Diverse Training Samples for Relation Extraction with Large Language Models GPT-4 Technical Report

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.717886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.717886Z digest=sha256:9fc8933d77ad0c86bcab86819111b5036d74dfe9f7e9fa075bdaf833df548770

Observation 01ff74af-fbde-4e1a-af51-88edc6ad2e7d · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.809659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.809659Z digest=sha256:504cc60dd93e80a85c7086f3a341495596fcb3c2f6e8b8bb4a8e94e20d879bb7

Observation 3ed41194-85d0-4cd5-a588-f8e8ef443d62 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.884754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.884754Z digest=sha256:79872c4b88ef07eab19cc69f2309ab908c0e13e1e4ad2d79bf3dea4cc081e2a5

Observation 27e7a012-5d4c-45c4-a932-95e9f58a0e44 · outbound

This paper cites Manning, Stefano Ermon, and Chelsea Finn.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Manning, Stefano Ermon, and Chelsea Finn

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:57.945828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:57.945828Z digest=sha256:6d469a485b9fa8f074c6e25a93cc8307366cdc37039d4800d8a8263e8033307c

Observation 323bbce0-6fdc-40d5-8725-c0b370fc3af6 · outbound

This paper cites Srihari and Wei Li.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Srihari and Wei Li

Reference 23

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T12:57:59.526679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:57:58.029629Z digest=sha256:b872b920848646a1f5608043fb637ba034d905dcd9059e7e6e811aea471877df

Observation 92164089-605a-4d8c-8644-ecd58be69b82 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.121544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.121544Z digest=sha256:457efbff51e4bb7a38f1ab46fd7c4af5c4b375d355a1fa5ca1f8bc575eac79ac

Observation 77536c69-e593-4a2c-b792-945c194063c1 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.236129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.236129Z digest=sha256:ba8a7f14d0df2a19531a4e9c06ff115afaeb77b0f92da106dce31e1aaad96b58

Observation 7aed9aea-ee86-497f-ba87-71f05f80fc16 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.333644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.333644Z digest=sha256:f78722ab39c6bec20dc974beef31d1bcfaf570f5a19e810a93f515e4e0c44a0d

Observation 63ecb98a-a467-4898-8d73-d7f9bb8ae029 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.393802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.393802Z digest=sha256:98c14e104062851ed73d9d3d6d46803456b04229801b36e100b82582f8b9d044

Observation 65cebde7-64a5-486e-9a8f-b56c02d270f4 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.491137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.491137Z digest=sha256:cf9fa6227ed6972ce63c74467e027baf079349edadbf4421e57aad0753ff261a

Observation 9348b4bf-677a-4b6a-80d5-2474cd4a42d6 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.558320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.558320Z digest=sha256:0705e8838185561087ac07f38df23c3c328d8b208ed889a3621e1b36215b71ec

Observation 916c5404-b12f-4167-ba59-4a64c4ba0927 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.644631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.644631Z digest=sha256:ae08d6069869e3bfce57e562d8831cfadf78a2186dd8637648a2452128764939

Observation b5fb97d6-3f46-4984-815a-2296f922b1f3 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.752246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.752246Z digest=sha256:375326f6a430f4173e97823ea69c7bde5b8eafd6075a7e4f69cedccb92b5201f

Observation aed818c5-f4c4-4a18-9396-5db3b4f63e1b · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.826842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.826842Z digest=sha256:6f85596758fbf1e092f403f22abca123f21c9709952ccbafc94cb504f128ef03

Observation bcdcbc58-8515-470c-8b84-d4fdd3b3213c · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.898695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.898695Z digest=sha256:73300a43893e87c9b7b73a9840ea4019cc8501ce282e3499b257928eeace73ea

Observation 9b88be31-8419-4414-b36c-1b7f4c2b66a5 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:58.991427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:58.991427Z digest=sha256:45a406fcebf1d8b0f95595e40c324b3b9c0faeb87711b8b8cd5ea0a1c50ab074

Observation ea787d19-98ea-4981-9cb9-0371a7b8a2bc · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:59.082258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:59.082258Z digest=sha256:7a498b13e6a7843c47ea518fdd0fb3bb74263bbd3005a3560d70efbcfc259226

Observation f859b6ab-13af-4edb-bbae-acfccb2fe2d6 · outbound

This paper cites an unresolved cited work.

Generating Diverse Training Samples for Relation Extraction with Large Language Models Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:57:59.154388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:59.154388Z digest=sha256:0071fdd7b4b4e680279d642f5cc0ab2967e3c6382f8504d20e95ea2218c683ee

Pith citing papers

No inbound Pith citation observations are available.