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Paper Citation Record · LEDGER

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering

As of 13 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.04119.

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

pith.paper-citation-record.v1
2412.04119 v3

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:49:10.251560Z

measured 18 of 18 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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved7
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34cc5bb1-2407-44db-9346-11a99982c013 · outbound

This paper cites s1: Simple test-time scaling.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering s1: Simple test-time scaling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:10.211605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:10.211605Z digest=sha256:6154869c4333bc617273174befd5f3a689d31ac55324117d4eb271817b3db133

Observation 5fcff3c5-79d6-46df-94d7-d48f2b4500b7 · outbound

This paper cites InProceedings of the ACM/IEEE Joint Confer- ence on Digital Libraries in 2020, JCDL ’20, page 385–388, New York, NY , USA.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering InProceedings of the ACM/IEEE Joint Confer- ence on Digital Libraries in 2020, JCDL ’20, page 385–388, New York, NY , USA

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:10.675272Z

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.

source=pdf_text observed=2026-08-11T21:49:10.215377Z digest=sha256:83ba54497bc1e8a25f1019b4fbdead22715b4cc3c3f93f88016b1ae1d444b1b2

Observation 15f52c75-bdfa-46ee-aaa0-eb4e381c5c47 · outbound

This paper cites Gerard Salton, Anita Wong, and Chung-Shu Yang.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering Gerard Salton, Anita Wong, and Chung-Shu Yang

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:10.659861Z

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.

source=pdf_text observed=2026-08-11T21:49:10.219163Z digest=sha256:14cae666cc05769072772e2ec36291355e864d8e19f0e884d73503c9f08aa3ee

Observation 1f7f6906-03f0-4e6b-bb0c-6d6dbd1ff643 · outbound

This paper cites In Proceedings of the 29th International Conference on Computational Linguistics, pages 1604–1619.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering In Proceedings of the 29th International Conference on Computational Linguistics, pages 1604–1619

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:10.635748Z

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.

source=pdf_text observed=2026-08-11T21:49:10.223037Z digest=sha256:c67d1b96bf2284d1cebb19205ad8abbdb69045709c0459cf069e1f4f3194cd1e

Observation 09862ae8-fccb-44af-9ad0-1186e7217590 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering Towards Expert-Level Medical Question Answering with Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:10.226589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:10.226589Z digest=sha256:3c7058b970d7646766b9c53a9d06d59a9573dbc7b038104f501e90040a3ee496

Observation 3232b991-c73a-4227-ad06-bc9dbd037483 · outbound

This paper cites A Survey of Large Language Models.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering A Survey of Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:10.234683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:10.234683Z digest=sha256:103ce666822ac171fda431af6c9c734c13026409d63ac3599c8973ffd1e4059d

Observation 269fc1e6-8a51-4f36-ab47-43e434f71b69 · outbound

This paper cites This, together with the previous baseline, achieves the best results among the baselines.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering This, together with the previous baseline, achieves the best results among the baselines

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:10.575181Z

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.

source=pdf_text observed=2026-08-11T21:49:10.247440Z digest=sha256:4a2f80c60407701322acaba18b24e0780a749a704b436b82e0d68c1e046831fd

Observation 86a945ff-7bca-42ad-bcc8-9b8935e4edb2 · outbound

This paper cites an unresolved cited work.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering Unresolved cited work

Reference 18

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T21:49:10.461899Z

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.

source=pdf_text observed=2026-08-11T21:49:10.251560Z digest=sha256:44a007bde52d4d0e76bf902acadec8f4575c72dfcb167f37efdc474a4c8daba3

Observation e2bd0360-c678-4d00-a911-497f6fe0f0b9 · outbound

This paper cites penal” com- pared to other words, indicating a possible preva- lence of penal-related content in the dataset. More- over, the terms such as “case.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering penal” com- pared to other words, indicating a possible preva- lence of penal-related content in the dataset. More- over, the terms such as “case

Reference 1975

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T21:49:10.604839Z

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.

source=pdf_text observed=2026-08-11T21:49:10.238885Z digest=sha256:807f5940364df4011b3803a9f180fdf2703dd6d5070768e0cdf299a5d8af6234

Observation eb71f26e-7458-49eb-be63-1d123f5e47b2 · outbound

This paper cites InNew Frontiers in Artificial Intelligence, pages 199– 213, Cham.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering InNew Frontiers in Artificial Intelligence, pages 199– 213, Cham

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:10.698456Z

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.

source=pdf_text observed=2026-08-11T21:49:10.203990Z digest=sha256:241c39839f5e6e42627e348b5bcd62df4ce27cf1b953b43d85a0a5b0c77afe06

Observation 673aa19e-abe9-4b90-b62b-e78a98ed44d2 · outbound

This paper cites All BERT models were fine-tuned on all parameters.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering All BERT models were fine-tuned on all parameters

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:10.590490Z

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.

source=pdf_text observed=2026-08-11T21:49:10.243331Z digest=sha256:ddd8394c695756079fd3514f1f2f565b1b6789e1bd2dfcbb78a7f6c7d53bb8af

Observation c2f68687-074f-436c-b84f-b7d9b946b080 · outbound

This paper cites InNew Frontiers in Arti- ficial Intelligence, pages 299–313, Cham.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering InNew Frontiers in Arti- ficial Intelligence, pages 299–313, Cham

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:10.686973Z

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.

source=pdf_text observed=2026-08-11T21:49:10.207824Z digest=sha256:60c0d7942f28cfb34c1e3c4a13470a01db1939ed9b212fb4ba4ae09c4e8af64b

Observation 1b62af21-961b-4f74-b951-2b150e1e7879 · outbound

This paper cites Thi-Hai-Yen Vuong, Ha-Thanh Nguyen, Quang-Huy Nguyen, Le-Minh Nguyen, and Xuan-Hieu Phan.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering Thi-Hai-Yen Vuong, Ha-Thanh Nguyen, Quang-Huy Nguyen, Le-Minh Nguyen, and Xuan-Hieu Phan

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:10.619687Z

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.

source=pdf_text observed=2026-08-11T21:49:10.230666Z digest=sha256:4c809abcddebb26f60e7efb3c99c22d42bc20bf1669774b66289067f3f43acfc

Observation 56160af2-153f-4779-8753-44b6932c6331 · outbound

This paper cites InProceedings of the 28th International Conference on Computational Lin- guistics, pages 988–998, Barcelona, Spain (Online).

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering InProceedings of the 28th International Conference on Computational Lin- guistics, pages 988–998, Barcelona, Spain (Online)

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:49:10.710084Z

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.

source=pdf_text observed=2026-08-11T21:49:10.200166Z digest=sha256:3de6e43187d1d4149b9da7d12cf734e2b831896039c8c496bb7fb7f3a71ae24c

Observation 1becb47a-d0bb-4e69-9d31-e76956b35729 · outbound

This paper cites Multi-hop Question Answering over Knowledge Graphs using Large Language Models.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering Multi-hop Question Answering over Knowledge Graphs using Large Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:10.182711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:10.182711Z digest=sha256:45081380ef442d30a418718866f0f9412c9313e15da0723afa744076afd349b0

Observation 41da2046-7e35-4ed0-8794-127f09e2d2e8 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:10.191711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:10.191711Z digest=sha256:89721237e7ae681e25ede881e21af63da5871e6c0b8fdc16665a21e025b06292

Observation 380505a9-3236-4bb1-bb9d-004cd23c8e62 · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering MiniLLM: On-Policy Distillation of Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:10.195776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:10.195776Z digest=sha256:ddb7896356840a4f1a64edf863a1a78ef16ef471505047b75dc47ef11595dbb5

Observation 1867d7ab-631e-49db-945d-ffc72718b696 · outbound

This paper cites Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network.

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:10.187366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:10.187366Z digest=sha256:5cef0b9c706256a4403b8e48f22bc823ad7d81bb34b82c01573075d7c10a85b8

Pith citing papers

No inbound Pith citation observations are available.