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Paper Citation Record · LEDGER

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.05426.

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

pith.paper-citation-record.v1
2306.05426 v3

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 2026-08-07T12:30:15.354687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T09:42:04.199568Z

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 d1b5d19b-0f79-45ab-bb1f-8e734a1eecdf · inbound

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents cites this paper.

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

Reference 227

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:42:04.204406Z

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=2026-05-20T09:41:59.979595Z digest=sha256:346ea911f2b2962e84004e933f4a4d036446b8190ad3af75766cc031493693f8

Observation 70a87e9a-0d49-4527-b423-512a812a02e6 · inbound

Learning Safety Constraints for Large Language Models cites this paper.

Learning Safety Constraints for Large Language Models SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:30:15.354687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:30:15.354687Z digest=sha256:cdba18c36e6bea80f18987ef0a5e0bb978fc132d81dee349857a0fc299e9a101