Paper Citation Record · LEDGER

Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2410.04707.

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

pith.paper-citation-record.v1
2410.04707 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:18:47.988297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:26:17.063908Z

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 a5a8c85f-007f-4312-b530-284b87c955f2 · inbound

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs cites this paper.

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:51:29.476618Z

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.

Observation 45a5734c-5395-4298-b185-f158ee9e72dd · inbound

Emergent Response Planning in LLMs cites this paper.

Emergent Response Planning in LLMs Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T16:18:47.988297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15aea0aa-d327-40a5-b8ae-0cf900157896 · inbound

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning cites this paper.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:00.664496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77aebce6-4914-4c51-956f-81cdfa8e45c0 · inbound

Structured Pruning for Diverse Best-of-N Reasoning Optimization cites this paper.

Structured Pruning for Diverse Best-of-N Reasoning Optimization Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:23.551437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb1a58f-a184-4b77-b97a-e4ffabe2b42f · inbound

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens cites this paper.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.139893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef116e5c-cec4-4023-acfd-1c09196c69b0 · inbound

Less is More Tokens: Efficient Math Reasoning via Difficulty-Aware Chain-of-Thought Distillation cites this paper.

Less is More Tokens: Efficient Math Reasoning via Difficulty-Aware Chain-of-Thought Distillation Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T05:34:40.267369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25098e2-7bad-4ba5-976b-82c4cdecf6a8 · inbound

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains cites this paper.

From Long to Short: LLMs Excel at Trimming Own Reasoning Chains Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T00:03:58.401997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c091b011-5038-4d53-802e-73825271e40e · inbound

Latency and Token-Aware Test-Time Compute cites this paper.

Latency and Token-Aware Test-Time Compute Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T18:37:58.927864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b269d24-e216-4ceb-aed9-2421a09ac982 · inbound

GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts cites this paper.

GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:58:04.004882Z

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.

Observation 1f7ddd34-2dea-4a48-8a55-c14c8196e823 · inbound

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models cites this paper.

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:10:13.026482Z

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.

Observation df8e1a92-8e47-45ef-a3d8-142108e3ae33 · inbound

Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents cites this paper.

Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T12:40:08.825784Z

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.

Observation 663b5e4e-27be-4e6c-a5e7-6c69885c12a4 · inbound

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models cites this paper.

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 113

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:53:42.214972Z

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.

Observation 3fae7f65-7cfe-421a-a7de-141aa2273200 · inbound

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models cites this paper.

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:45:00.805465Z

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.

Observation 890de3f6-cd4e-445c-93a4-716a155a044a · inbound

Self-Supervised On-Policy Distillation for Reasoning Language Models cites this paper.

Self-Supervised On-Policy Distillation for Reasoning Language Models Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:43:22.181773Z

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.

Observation e49d0f63-5f9b-414f-a8f1-f7ddcb255eb9 · inbound

ATLAS: Agentic Test-time Learning-to-Allocate Scaling cites this paper.

ATLAS: Agentic Test-time Learning-to-Allocate Scaling Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:26:17.065605Z

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.

Observation 393c9c4a-8dd6-43ac-b9ce-b9055cce5f6a · inbound

Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models cites this paper.

Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:05:42.264953Z

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.