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Paper Citation Record · LEDGER

LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.06565.

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

pith.paper-citation-record.v1
2206.06565 v4

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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:30:25.767873Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

35
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2b1233ed-b654-4d7b-8e6d-9770a49457ff · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:42:47.552825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T15:42:47.274448Z digest=sha256:7bd944ef40319be30d245cb6f676006b22156d184646f03a73cfa18ff12abfee

Observation 93902596-82f6-407b-b173-ec243d68433f · inbound

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers cites this paper.

SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T16:30:25.767873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:30:25.767873Z digest=sha256:6b46b87930d7a5a97de2608db91afb9c04ec9a9b00f18c55fe00c02d611a7703

Observation 593d6728-c93c-4809-a35e-c3126c9f16d6 · inbound

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold cites this paper.

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:00:29.128287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T13:57:36.981142Z digest=sha256:929d41f044c062d16bfe2df42f18d67ad130da121b8692c65be3ff174bc1031d

Observation 9d407712-28da-4305-b6c9-7c57b2dc16be · inbound

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold cites this paper.

ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:03:52.985120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T01:00:20.188501Z digest=sha256:ed5f18eac5e03ae980aa8704f0e39753becf56d9ab53522d04a45ba83d1d853e

Observation 349b862e-0732-4771-a31a-ab3cbee2e63c · inbound

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair cites this paper.

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:19:04.216486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T22:25:39.533017Z digest=sha256:42cb0342ebb6cea338347e69a724d4cd37595fb12bbe279b9d57d7504c4d7ace