Paper Citation Record · LEDGER

FiLM: Fill-in Language Models for Any-Order Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.09930.

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

pith.paper-citation-record.v1
2310.09930 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:10:39.829805Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.636256Z

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 6b98b8b8-0842-4e97-8199-92205613613d · inbound

Scaling Diffusion Language Models via Adaptation from Autoregressive Models cites this paper.

Scaling Diffusion Language Models via Adaptation from Autoregressive Models FiLM: Fill-in Language Models for Any-Order Generation

Reference 176

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:59:36.722702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation da39abf7-16ed-4c1d-b224-23d37adaedd7 · inbound

Enabling Autoregressive Models to Fill In Masked Tokens cites this paper.

Enabling Autoregressive Models to Fill In Masked Tokens FiLM: Fill-in Language Models for Any-Order Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T17:10:39.829805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a8df0a9-4815-4950-8182-5e5944675a2a · inbound

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities cites this paper.

FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities FiLM: Fill-in Language Models for Any-Order Generation

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:05.659496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0031da-f7f6-4e54-80c7-a962c238a201 · inbound

Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding cites this paper.

Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding FiLM: Fill-in Language Models for Any-Order Generation

Reference 141

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:38:43.637743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.