Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:39.468550Z

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T20:23:30.763794Z digest=sha256:0f09bdacde817335f8eec9c28a4e43562cc6e061ac8e1757dfb5c746549979f9

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=sha256:4437bf161f6ee1bffe7940e096b157bce0ebf54b62dcaf928e664429e80b76fb

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=sha256:8b6656e88276e66fa8616aab1d6f64132c1da95b68e9fb48738b4dab529c08eb

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:b57382d73749ccfb044425031bd700051541220e31bf1f5d2633635f8ef888f3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T06:54:21.052326Z digest=sha256:e0e31b020e8064e2abd1568c7309073c4a9e992b436ed3437bf440809a410a09

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T20:50:53.673037Z digest=sha256:e29d8a5b8f3aede38134b2fb9b1d8dd402f298a963cb99b9935016a31379e3bf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T07:59:35.303413Z digest=sha256:61e3d348644316a975e21978b7e362f1a294ed239dd163e900db7377c83f7bc4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T01:51:09.514927Z digest=sha256:02fd050feed0ef87ad51896c0e324b7c0bb62397e646cfc3456a89602fddc77c

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