Pith. sign in

Paper Citation Record · LEDGER

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution

As of 20 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.18091.

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

pith.paper-citation-record.v1
2506.18091 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:27:27.552923Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4654bc3-57c7-4992-83a8-9abe2ac7096c · outbound

This paper cites In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Reference 1

Resolution
malformed identifier
no resolver link, observed 2026-08-06T23:27:27.498340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:27.498340Z digest=sha256:dce7cdb46fc23a7cbb62544fd3314304c8f5734e1e493d7e6c532ed1e5180c40

Observation 8e2925e9-bc9d-4287-b42d-efe9d8b64405 · outbound

This paper cites Aya 23: Open Weight Releases to Further Multilingual Progress.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution Aya 23: Open Weight Releases to Further Multilingual Progress

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:27.502508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:27.502508Z digest=sha256:253120c36de0941ca6a881bf3a41e6af266ad602eab1a534bbfc42e819fb2341

Observation 020714dc-96db-44d6-b3c7-0ab61cc830b2 · outbound

This paper cites The Llama 3 Herd of Models.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution The Llama 3 Herd of Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:27.507459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:27.507459Z digest=sha256:9ad19f21b50ffd4f7998939e214119d4efee2423543e4abf8edabef42bab06f3

Observation 7401a88c-715b-43f3-830e-e14b213e4c00 · outbound

This paper cites an unresolved cited work.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:27:27.713844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:27.512125Z digest=sha256:d70dc230b2a59870bda15e3f1f75281e09b91e650019cda15e04efb631e11226

Observation fcb50a9b-4275-432e-b7f8-29e8b8537a35 · outbound

This paper cites an unresolved cited work.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:27:27.702413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:27.516761Z digest=sha256:6e5a299f95fe07c1a04c3b5ed30a084ec6a2e5a8cf152fb94e4f70481b872482

Observation 1e602063-98fd-4507-b90c-26b8111a1288 · outbound

This paper cites In: Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguisticsfor Cultural Heritage,Social Sciences,Hu- manities and Literature (LaTeCH-CLfL 2024).

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution In: Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguisticsfor Cultural Heritage,Social Sciences,Hu- manities and Literature (LaTeCH-CLfL 2024)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:27.690564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:27.521174Z digest=sha256:001c59bb644e40e57a79b5bce2c84fbe327e19472c4809fe745becfe44a49271

Observation 81f01253-8192-4eec-9a69-c5918bc13564 · outbound

This paper cites In: In- ternational Conference on Learning Representations (2022),https://openreview.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution In: In- ternational Conference on Learning Representations (2022),https://openreview

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:27.679245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:27.525133Z digest=sha256:361d83993a632f2a6ccd64bf8e2e752fd1c53cf82044d63533857d9e1ad730f9

Observation f8af68d9-daf8-4771-b0bf-9bcfc252005b · outbound

This paper cites Mistral 7B.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution Mistral 7B

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:27.529174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:27.529174Z digest=sha256:f237d93addfb1ab11c7958a569128e02e7f8a80a8fa5970e02cfd43b146bde15

Observation ea913659-f049-4505-860f-c231e98af6eb · outbound

This paper cites Are Large Language Models Robust Coreference Resolvers?.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution Are Large Language Models Robust Coreference Resolvers?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:27.532894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:27.532894Z digest=sha256:c0cf8cecc8ad17ef0d46eab330d08999653db6f2905694c01bc7d1666c2f8ff4

Observation c0dfd6f8-cb20-4392-abca-f1014806099c · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution Gemma 2: Improving Open Language Models at a Practical Size

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:27.536705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:27.536705Z digest=sha256:3e085806aea829efbd283e87318776a3747594458e7f46d9a449cb43cc3631ad

Observation 243fc0c4-3086-4ede-b19d-b1fbdbb99ea4 · outbound

This paper cites an unresolved cited work.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:27:27.668462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:27.540647Z digest=sha256:507ad65cbd1aa83553c9aee89923bda1fd9a83b53b87a398ff1822847d5637a7

Observation 028ae2b0-3815-468d-8ee1-fe1b8e82eacf · outbound

This paper cites Journal of machine learning research21(140), 1–67 (2020).

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution Journal of machine learning research21(140), 1–67 (2020)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:27.658065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:27.544585Z digest=sha256:7d50a565ced5a5397d1b66ed7aa3d4b83b58379aa54dcb485752024df8390070

Observation eb87635e-4b81-4798-b990-ad1ae4d8f514 · outbound

This paper cites In: Proceedings of the CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution In: Proceedings of the CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:27:27.646355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T23:27:27.549458Z digest=sha256:f17c5c264b4c471be42d5fd12177789fb582e9c1c28045a7445845d73a044cad

Observation 79dc20e4-27e3-45f3-af38-35125ec541bf · outbound

This paper cites In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:27.552923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:27.552923Z digest=sha256:fe169ab356e893a99400f101803378dc039fe58d3a0827af42d653002de52bc1

Pith citing papers

No inbound Pith citation observations are available.