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Paper Citation Record · LEDGER

Generating training datasets for legal chatbots in Korean

As of 5 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2605.07432.

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

pith.paper-citation-record.v1
2605.07432 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:53:00.250881Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

9 of 9 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abc1a6ec-326d-44d7-984b-44e529ff0866 · outbound

This paper cites an unresolved cited work.

Generating training datasets for legal chatbots in Korean Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-14T15:21:41.416069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:afdb31377daed660c07253d771fcd3d1fd1b5f0096e56b791676997ec57618f7

Observation 7fc63d71-4f5c-40e6-9799-9c27943cf30e · outbound

This paper cites DIET: Lightweight Language Understanding for Dialogue Systems.

Generating training datasets for legal chatbots in Korean DIET: Lightweight Language Understanding for Dialogue Systems

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:55:51.270562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:1c263495803a36d00f53c9dae6911b181cfb4f5eab023fa8daebecba1e89ec9a

Observation e6c77b5b-a2ab-418a-bdc2-7b54361a348d · outbound

This paper cites an unresolved cited work.

Generating training datasets for legal chatbots in Korean Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-14T15:21:41.417698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:3e4ac86376a50633ed678d91b15d84261e5569cbcd29faa0b82242ac3a43679d

Observation 570cbccb-b9c6-4953-886f-1758670a0e5c · outbound

This paper cites an unresolved cited work.

Generating training datasets for legal chatbots in Korean Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-14T15:21:41.410342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:a4c28791edfb823b74676eea0a23296f7998a707d34f61bc9a76326b80d1dc9e

Observation c07c60ee-2572-4fee-a707-8c9ddf2724b9 · outbound

This paper cites an unresolved cited work.

Generating training datasets for legal chatbots in Korean Unresolved cited work

Reference 5

Resolution
verified exact
doi, observed 2026-05-11T01:55:51.265727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:4c6b72b2570f3697f6d26254b83aae214feafe0628aae95151ef53ed5ef18504

Observation 2ec4cb0e-f271-49ad-9e1b-fccf9dc8a45e · outbound

This paper cites an unresolved cited work.

Generating training datasets for legal chatbots in Korean Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-14T15:21:41.413980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:616224a51d2020c1adc81e92c4546c1f8b032f45cdfba05d6b3944f0f5929d5a

Observation 8174c702-8305-459c-8c22-76554f0d3181 · outbound

This paper cites an unresolved cited work.

Generating training datasets for legal chatbots in Korean Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-14T15:21:41.412041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:98e6878d8b3341ca7041b4c6d48c0fcd992700d8411a35d3f6b7efa5e9620c03

Observation 4cfe098f-5b60-4861-ac14-7582f2457465 · outbound

This paper cites an unresolved cited work.

Generating training datasets for legal chatbots in Korean Unresolved cited work

Reference 8

Resolution
verified exact
doi, observed 2026-05-11T01:55:51.267768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:b7bd469c76c9ccc2c5a77cc2989942cf0732b5e4a7ad6d84f03f781a293c4ab9

Observation 4f56830d-f20e-49ba-8197-3eb87ee35081 · outbound

This paper cites an unresolved cited work.

Generating training datasets for legal chatbots in Korean Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-14T15:21:41.408681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:ac0fa56cb26b534c52ba869b2a3369b2c238409d00dc935433f865d13e205c22

Pith citing papers

No inbound Pith citation observations are available.