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Paper Citation Record · LEDGER

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2408.13457.

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

pith.paper-citation-record.v1
2408.13457 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:53:44.240467Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:37:09.605448Z

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 2a677e1f-e64f-4444-a8e3-cc9fd47e445d · 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 Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:51:29.314914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-13T15:51:29.022336Z digest=sha256:9ff0ba199ac95e2e4dfc833a34762656eeaf488b0939f9423b9b350b9636046c

Observation e0c332b4-8413-45eb-b1bd-25ec35791261 · inbound

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning cites this paper.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T18:53:44.240467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:53:44.240467Z digest=sha256:188a78d37def8858e89cc839ebf65b9020381e32c75abbd0adc4985e35be7888

Observation b8076c6c-0ddd-4baf-a4f8-171db96ecd51 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 184

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:29:57.019803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:7fc2c6254f0a161833e5fb4c158d1a338bb8dd3398a5d9e30b6be33c36272773

Observation 28abdb4e-df06-40ae-b00a-7dda43c395c7 · inbound

Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection cites this paper.

Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:56.325284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:56.325284Z digest=sha256:1e3f3316b4335219b9780567cfbf177971d4dc11ccbbbd41d7e369a2c724edb2

Observation cd31cadc-038b-4d77-bf61-788a293e891a · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:10.152789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:10.152789Z digest=sha256:4d4d2a723e161e850bed0818b1259eb21831aa542795f0a385308f300d5fdfbf

Observation 56ce4c99-e1bb-4475-8bc7-8910c036d346 · inbound

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

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T17:04:38.754895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:04:38.754895Z digest=sha256:4b069203e1b3278006f415d28773bf55f7e43d80dd7a6adaf72410588ce11d7f

Observation 90e19e2e-4c6d-45b7-b15b-2baefb2d9412 · inbound

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models cites this paper.

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:05:09.164777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T04:56:35.796962Z digest=sha256:3d389091440fb778c254252c8d27756472c3b091efa851996ddc3dbb90036880

Observation ef8cbb71-33d6-4291-8007-d4b81f8f3dcd · inbound

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model cites this paper.

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:46:06.323556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-09T15:10:16.533927Z digest=sha256:2a15329c9c138ccd9022bf1cdb8bad068f70e4fe2e673c20037ce34d2582bd55

Observation c6e49c71-bfcf-4157-b239-5471e0912312 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 182

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:06:09.590749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:c7280ae014dc47812c50285fa4bb5491950511dac4a4443fe90bbd3cc0619fb1

Observation 3e3ce105-c363-4a9e-90dc-adff1f55ed4e · inbound

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling cites this paper.

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T02:22:17.974382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:22:17.974382Z digest=sha256:ce8b94424c347b4b912ab34ed3054948291acc129d9a45e21d3ab680c887a5cb

Observation d66b8519-354f-4532-a14f-80bd113db5e1 · inbound

Evidence-Grounded Ensemble Diagnosis of 802.11 Packet Captures: A Multi-Stage Pipeline with Deterministic Reliability Scoring cites this paper.

Evidence-Grounded Ensemble Diagnosis of 802.11 Packet Captures: A Multi-Stage Pipeline with Deterministic Reliability Scoring Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:37:09.606990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T22:29:01.722453Z digest=sha256:9a0812c2d1fb320e0198bba36a3b01ed0f304b0f36f8e6bb65e57442a2ab0529