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Paper Citation Record · LEDGER

Prompt-Based Length Controlled Generation with Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.12030.

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

pith.paper-citation-record.v1
2308.12030 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:30:11.118796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:39:35.800623Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0d89dc39-0edc-4ebc-ae3b-9aef84c99a60 · inbound

Precise Length Control in Large Language Models cites this paper.

Precise Length Control in Large Language Models Prompt-Based Length Controlled Generation with Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:30:11.118796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:30:11.118796Z digest=sha256:b9ddb19783843469f49fc0e947435aff1e50e7e524a6e288b8faa15e4e972bd1

Observation beb35cdd-91c3-4afc-958e-1a5065231a5a · inbound

Hansel: Output Length Controlling Framework for Large Language Models cites this paper.

Hansel: Output Length Controlling Framework for Large Language Models Prompt-Based Length Controlled Generation with Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T12:37:34.120499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:37:34.120499Z digest=sha256:3714119157dad76cf5ae3fb8bf764c20a18b632894265c382061bf117b660b84

Observation 5ab48b33-3a02-459c-a1ef-4426ed25e2f9 · inbound

Controlling Summarization Length Through EOS Token Weighting cites this paper.

Controlling Summarization Length Through EOS Token Weighting Prompt-Based Length Controlled Generation with Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T10:34:08.244232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:34:08.244232Z digest=sha256:38a1d77c4e5d540a3d0c1372cf02f7ee407e09512d50b8a5846f32e8c8906d80

Observation 19069386-94ad-45bf-9854-3a8820260219 · inbound

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning cites this paper.

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning Prompt-Based Length Controlled Generation with Reinforcement Learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:48:18.714746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:18.714746Z digest=sha256:93f97adff45e87979ebd5f296d93cd294e5c9de37ffeb360c5197a6ada53fa10

Observation 5d27e418-35b5-4d72-8ee8-2f04d534e8c9 · inbound

TiCo: Time-Controllable Spoken Dialogue Model cites this paper.

TiCo: Time-Controllable Spoken Dialogue Model Prompt-Based Length Controlled Generation with Reinforcement Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:39:35.802389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T00:38:52.182973Z digest=sha256:ca0a7603c24fedce4b55f0b35090b4656059191bd611e6d20b12e8c78e6e4db1