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Paper Citation Record · LEDGER

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:2604.22779.

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

pith.paper-citation-record.v1
2604.22779 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 8 of 8 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:53:26.307965Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved0
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc940e22-4cbf-4b50-b132-be2d46b6e6c7 · outbound

This paper cites MASH: Modeling Abstention via Selective Help-Seeking.

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning MASH: Modeling Abstention via Selective Help-Seeking

Reference 2

Resolution
malformed identifier
local_arxiv, observed 2026-05-13T20:23:13.236659Z

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=2026-05-13T20:20:18.745298Z digest=sha256:64292392dca5d59250094eb8cf871652f141d60a6feca2a10ec5834b468351da

Observation 96ffc7e3-08c9-48e3-9c4e-6a79bcde94f4 · outbound

This paper cites The Llama 3 Herd of Models.

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning The Llama 3 Herd of Models

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T20:23:13.241128Z

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=2026-07-11T11:50:26.030339Z digest=sha256:3f4c7428e3501fa4103dc07c6bb0004ac7eeffb38469dc9140727915e2e95666

Observation bf7abb64-6f19-4efa-8610-c0a129c6dd8f · outbound

This paper cites doi: 10.18653/v1/2024.naacl-long.394.

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning doi: 10.18653/v1/2024.naacl-long.394

Reference 4

Resolution
verified exact
doi, observed 2026-05-13T20:23:13.232769Z

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=2026-05-13T20:20:18.745298Z digest=sha256:71e7d93c72a89d9c6e5846fce5ff573f21f3c2527f50d895a30f416a8a77535c

Observation 5763a719-d770-46f6-9473-be3e0e738b4b · outbound

This paper cites I don’t know.

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning I don’t know

Reference 5

Resolution
malformed identifier
raw_fallback, observed 2026-05-14T01:58:38.537669Z

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=2026-05-13T20:20:18.745298Z digest=sha256:9be3a79807ed8bfc909be5a44f1eb15288bdcef20c423d166029ebf1b6e62d37

Observation 95760b0b-7a5e-4352-a9e6-11237dc3219c · outbound

This paper cites I don’t know.

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning I don’t know

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T01:58:38.541547Z

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=2026-05-13T20:20:18.745298Z digest=sha256:f8459efdbc7e96bc53baa8185a106ca2e25baba8b8242b0e68257c22fcfa5e32

Observation f6e93fab-503d-4e1e-97d0-66fc2d9540b0 · outbound

This paper cites invalid question.

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning invalid question

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T01:58:38.546846Z

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=2026-05-13T20:20:18.745298Z digest=sha256:400e444140a1edecf7412df94d66964c66f1200969a87ec72b6876c97444efa3

Observation 03503d22-48a4-45b1-bc86-c60c4910505b · outbound

This paper cites I don’t know.

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning I don’t know

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T01:58:38.531754Z

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=2026-05-13T20:20:18.745298Z digest=sha256:66a5dd1952de570648de80eb156dbe6599426ac733d6af8b794108a2fa8276f6

Pith citing papers

Observation 54305e50-0fb7-46ae-be6e-c870cb08f6e0 · inbound

Abstention as an Action Can Kill Both the Reward Gradient and the KL Anchor: Collapse Law and Repair for Error-Penalized Reinforcement Learning cites this paper.

Abstention as an Action Can Kill Both the Reward Gradient and the KL Anchor: Collapse Law and Repair for Error-Penalized Reinforcement Learning KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T00:53:26.307965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:53:26.307965Z digest=sha256:2b0ae25e66b4132c85e04949d9f298f048dbf3d96953e3fbdc1d3e4d8980407e