Pith. sign in

Paper Citation Record · LEDGER

Generating training datasets for legal chatbots in Korean

As of 19 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 2026-08-19T06:32:44.657259+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

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:0eab0c8e292ccff62de526e87a16ba3972e4dcd70f9d4cf6df79746c1fdea707

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:a30dc409b8c7bd6faa52549fcdd82570e4c235ade3cd3b5f09230ec02c5edce8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:e9bfb73fc2ed19a72db0b81af5769dcaf37ddfbe0c4832a3e54d274fbe0a9b4a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:194a47743971be1eb38272119c6dae4a3135737f21d6654e90058e5abcff938a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:e65b26f1201743f9580ed765c864e3b8aa2720e09bd1f9c971cbd8e3a255f70b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:63fcdae9929d43c02f40061427eeb4757e1ac2e7b2654914aead9e0de0fe444d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:42986c0440291a4eacfe928c58eb8fa623504a987cbbb0164e3a91913129bd57

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:a3a83cbac7acba82ab6d30460a3c32a8197e5bf1d17fb85493e497a17e84c098

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:53:00.250881Z digest=sha256:bdbf97e3d25df125bd5b134180f0db0da4404b48174769126eae1d68efa40416

Pith citing papers

No inbound Pith citation observations are available.