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Paper Citation Record · LEDGER

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.03131.

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

pith.paper-citation-record.v1
2203.03131 v1

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 2026-08-07T12:02:10.472315Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:29:53.424920Z

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 75f62bfa-a6b1-4b98-9dbe-82725338a456 · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:29:53.435176Z

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=pdf_text observed=2026-05-11T13:29:53.345251Z digest=sha256:6b397d094e48c58754120bafb4a4b2023f0ebb08c1fa9a759dc12fdfea24f0ca

Observation 27faa215-f658-48b0-9076-82239a2dfd3e · inbound

Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering cites this paper.

Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:10.472315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:02:10.472315Z digest=sha256:610abbd987c848829afa14a080152407b9c979653f18366e4094fefa32c3f4cc