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Paper Citation Record · LEDGER

Train Long, Think Short: Curriculum Learning for Efficient Reasoning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2508.08940.

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

pith.paper-citation-record.v1
2508.08940 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:11:25.281204Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T11:41:29.618201Z

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 02b44e8b-7ea7-440e-be71-bc4320ef8440 · inbound

CLPO: Curriculum Learning meets Policy Optimization for LLM Reasoning cites this paper.

CLPO: Curriculum Learning meets Policy Optimization for LLM Reasoning Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T13:53:33.416926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:53:33.416926Z digest=sha256:31930884061fb9625cce328b7b4177a1494d727292ec4eed45f8d4507d45fa9b

Observation 6b84a83c-1948-4679-affa-bcc6af28171e · inbound

Learning to Reason Efficiently with Discounted Reinforcement Learning cites this paper.

Learning to Reason Efficiently with Discounted Reinforcement Learning Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T07:59:52.671528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:59:52.671528Z digest=sha256:564a435cb6692ab839577aadbb1e42d1867ef34a4e613221f5a3678bc8b25bc2

Observation 5a8ff8f1-b269-4e63-a799-9ab85de65963 · inbound

Training-Trajectory-Aware Token Selection cites this paper.

Training-Trajectory-Aware Token Selection Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:41:29.621561Z

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.

source=pdf_text observed=2026-05-22T11:41:21.275802Z digest=sha256:6198710873766a2967ddbe93917061ed068b95759f9a73ae4140f92c07396ed6

Observation c3f63bd0-bc51-485f-9b6e-261566b018b2 · inbound

GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training cites this paper.

GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Reference 2005

Resolution
unresolved
no resolver link, observed 2026-08-03T08:24:26.498526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:24:26.498526Z digest=sha256:12e30560754c09472626a20221b8e53d00d47677f1120e4e5214b874830197ea

Observation fa33030c-50ff-484c-9a4a-72b9a5fccf56 · inbound

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning cites this paper.

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:15:48.794478Z

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.

source=arxiv_source observed=2026-05-10T19:15:27.406778Z digest=sha256:ac97f04717dbf395e7280d9c9076e10480abf29e950158dace79dc62d05c7ae3

Observation 9d1cc011-f5b9-4d79-bdb5-6178ba39f90e · inbound

Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models cites this paper.

Efficient Chain-of-Modality Reasoning via Progressive Compression for Spoken Language Models Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T11:20:17.777028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:20:17.777028Z digest=sha256:38850fab2eb3962f81ac3bde2a4d472aeba50767ddbcb5d30cce0ccba0728e49

Observation 9e06b1a0-544c-4c45-a781-0d7901508fa3 · inbound

Recursive Vision Language Models for General Symbolic Reasoning cites this paper.

Recursive Vision Language Models for General Symbolic Reasoning Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T00:11:25.281204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:11:25.281204Z digest=sha256:9ab694ce24cdce320e4642ab89231d81440446f89a5e05d74a72be35e7a739d6