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Paper Citation Record · LEDGER

Evaluating Large Language Models on Controlled Generation Tasks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.14542.

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

pith.paper-citation-record.v1
2310.14542 v1

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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:31.645790Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:36:00.931119Z

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 53cb8de8-f6e1-4964-8846-7a37a01b0ac7 · inbound

Instruction-Following Evaluation for Large Language Models cites this paper.

Instruction-Following Evaluation for Large Language Models Evaluating Large Language Models on Controlled Generation Tasks

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:36:00.933940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-24T05:34:04.002648Z digest=sha256:257a373c9a4c5aa72baaaac6c0acc181f1ed47d418a09a0b3710370b07b92310

Observation 29a4a05b-dc45-474b-8d11-7feff824a42e · inbound

RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios cites this paper.

RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios Evaluating Large Language Models on Controlled Generation Tasks

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:31.645790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:31.645790Z digest=sha256:2ba4a368501ffb1c5380c45a196f73a9c3cc54e88eb7688e2da63d0ff1c1d9d7

Observation 2defefe2-bfc3-46bb-a340-39ebb429604e · inbound

Beyond Pass or Fail: Multi-Dimensional Benchmarking of Foundation Models for Goal-based Mobile UI Navigation cites this paper.

Beyond Pass or Fail: Multi-Dimensional Benchmarking of Foundation Models for Goal-based Mobile UI Navigation Evaluating Large Language Models on Controlled Generation Tasks

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T22:05:23.925799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:05:23.925799Z digest=sha256:5c3ab0da6fed5ef633186e3ae8363082f0ee095cd0bfe9fb59f30e7557dad45c

Observation e7679ab8-965e-49f2-9974-ff28d6e9080b · inbound

LCTG Bench: LLM Controlled Text Generation Benchmark cites this paper.

LCTG Bench: LLM Controlled Text Generation Benchmark Evaluating Large Language Models on Controlled Generation Tasks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:45.125635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:45.125635Z digest=sha256:16c5114f43f23f4f34f2aaceaa0b72e1c03fca569737ae6d01c17bf7e509e681

Observation 66137bd3-6855-4473-b750-5f8980f708a8 · inbound

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines cites this paper.

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines Evaluating Large Language Models on Controlled Generation Tasks

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T11:52:35.466441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:52:35.466441Z digest=sha256:c4384a484a516ccc28fc5bdaed06ab461aa8bee3064cd8f483535ccfb699a8f3