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Paper Citation Record · LEDGER

Black-Box Tuning for Language-Model-as-a-Service

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2201.03514.

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

pith.paper-citation-record.v1
2201.03514 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:45:20.576394Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T17:25:08.062295Z

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 ca3d321c-b3bd-4ebd-bd53-9c1192cf1a9b · inbound

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations cites this paper.

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations Black-Box Tuning for Language-Model-as-a-Service

Reference 183

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:25:08.064305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T17:25:07.730933Z digest=sha256:1660b16d4eb1010a017ea4dc1ba632721f1a07ae9ad53e6aac7731da8d2a8f8c

Observation 738dbaeb-a711-43db-bfa1-62f073dc36c5 · inbound

Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling cites this paper.

Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling Black-Box Tuning for Language-Model-as-a-Service

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:20.576394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.576394Z digest=sha256:449c9829f1f6ed58c006b8a697bfcaf565b6d245f39a5a7e4eb313165990609d