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Paper Citation Record · LEDGER

Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2404.02823.

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

pith.paper-citation-record.v1
2404.02823 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:36:35.318846Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:56:01.587618Z

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 5a8187ee-3848-48bb-9a70-2d7fba5d7bbe · inbound

Process Reinforcement through Implicit Rewards cites this paper.

Process Reinforcement through Implicit Rewards Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 100

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:23:31.144153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T20:23:30.763794Z digest=sha256:fdbc763cf9a469b5845b5900a2141bca01640e9ef7616816bec3de9bc715a793

Observation 4fe8a6c0-1545-48a9-b1af-8dd57d1755a8 · inbound

Verifiable Format Control for Large Language Model Generations cites this paper.

Verifiable Format Control for Large Language Model Generations Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T22:36:35.318846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:36:35.318846Z digest=sha256:dde3296347ed62ef13f55af2f20cf608bae44ddc7095fde3704ea082d16616b8

Observation e9f85e08-742a-41f3-b369-8c3814a5250c · inbound

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation cites this paper.

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:39.468550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:39.468550Z digest=sha256:410e34d0e7b6f17c23775a494452a18dc4ea73d22c77b1b9cbeabe14ac2c1a96

Observation 27dada56-cb8d-4b39-b0b9-8717c47847f5 · inbound

AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios cites this paper.

AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:07.819204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:07.819204Z digest=sha256:38b3e1f815d843a3814a871d9946f764c6a9dc1d80837dca31da9662eee24f41

Observation e52aa194-98a4-437f-a161-ffcdd34fb001 · inbound

STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models cites this paper.

STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:25.697100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:55:25.697100Z digest=sha256:4804501008a4262cfd0a6004fd3b713a4e7dfff12fb2fe41038cf40387def902

Observation eb83675c-520e-4b3b-a4c8-aad05a1eb8c5 · inbound

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following cites this paper.

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T04:43:20.883463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:43:20.883463Z digest=sha256:7c2f297b334ff619a217abd541405184a2d126924598d38e357bc22d56fed69f

Observation e69ad3f7-4fab-4175-be85-2fd3819ccb08 · inbound

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T20:20:23.997025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:20:23.997025Z digest=sha256:10a79420f14427681d13e7c75562d77930f34da1ae8282d5ea6c711346e73971

Observation 9881760d-010e-4da5-8489-b24af8b90d60 · inbound

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms cites this paper.

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T20:17:49.708519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:17:49.708519Z digest=sha256:0034c33f179b1e66954eaf70210e298b65fc189a4aa502fdb9673a553378589c

Observation 65d7a590-ec10-4932-9ab9-1a5b2c2a5f4c · inbound

Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following cites this paper.

Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:56:01.590472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T06:54:21.052326Z digest=sha256:e019ffac0a24e64ea1550e6766ee903f3b2c4c753377a9d3e1e61631b7106556

Observation 6734a97d-577d-422c-87e2-d61fca47976b · inbound

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization cites this paper.

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T20:52:06.024769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T20:50:53.673037Z digest=sha256:be8a1e2651f07b419ebcf4eb69cc456ec8e3405de9737a9300bb21a4745953f1

Observation 94562801-110d-491c-bbbf-b212378d88a0 · inbound

ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following cites this paper.

ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:00:44.613350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T07:59:35.303413Z digest=sha256:08d6799001621245bf098e294b3695c7a61e1ec079370ae30cde06d696cc73be

Observation 42514c0b-a315-4f07-8734-55242336d523 · inbound

SEIF: Self-Evolving Reinforcement Learning for Instruction Following cites this paper.

SEIF: Self-Evolving Reinforcement Learning for Instruction Following Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:20:55.901640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:51:09.514927Z digest=sha256:fa0ea1748cd7a82ce6c33a2a81ad6a8ae4ccb64a0b612a7ab2c443766912888b

Observation 8f63742b-9734-4084-9bc8-1ea3a7a3d81c · inbound

CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization cites this paper.

CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T01:52:02.388245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T01:52:02.388245Z digest=sha256:46c7b41555f3f0e99abde9e69a819597225ee74591222247c76555dfd672e717