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Paper Citation Record · LEDGER

Efficient Inference for Large Reasoning Models: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2503.23077.

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

pith.paper-citation-record.v1
2503.23077 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:15:06.776629Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d503717f-c057-4032-bd8e-ebc1324605e7 · inbound

Get Experience from Practice: LLM Agents with Record & Replay cites this paper.

Get Experience from Practice: LLM Agents with Record & Replay Efficient Inference for Large Reasoning Models: A Survey

Reference 49

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no resolver link, observed 2026-08-07T14:44:26.481418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:44:26.481418Z digest=sha256:7d6e8da42471caac98addba3c674f2bb3ed2851fa309b247ff759aac1dff67bb

Observation 83b4d024-ced4-4d95-a4cb-48ee2499edb4 · inbound

The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework cites this paper.

The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework Efficient Inference for Large Reasoning Models: A Survey

Reference 23

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no resolver link, observed 2026-08-07T14:23:08.786708Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:23:08.786708Z digest=sha256:965e9ed2a51b433ef0ee8bd0e6056a5acdc687b943d24c89477bbc856a17c51d

Observation 31beb35d-970e-431e-a578-ea620822b7e4 · 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 Efficient Inference for Large Reasoning Models: A Survey

Reference 17

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no resolver link, observed 2026-08-07T14:16:54.302236Z

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source=pdf_text observed=2026-08-07T14:16:54.302236Z digest=sha256:053321f96ce53a8c32ae3655f69a0d6956376ac1496c9c1b8311fae61a19f512

Observation c03c36a2-7818-47bc-9124-33934af2f74a · inbound

PixelThink: Towards Efficient Chain-of-Pixel Reasoning cites this paper.

PixelThink: Towards Efficient Chain-of-Pixel Reasoning Efficient Inference for Large Reasoning Models: A Survey

Reference 53

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no resolver link, observed 2026-08-07T12:45:46.479922Z

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source=pdf_text observed=2026-08-07T12:45:46.479922Z digest=sha256:2b9a2e1074c3191af4c327b1355a5bbf222496dc49b80af6ee2b1508d1f6ff07

Observation 92436c6d-4843-4ee7-bd4e-94f520a26559 · inbound

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Efficient Inference for Large Reasoning Models: A Survey

Reference 29

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source=arxiv_source observed=2026-08-07T12:35:28.772127Z digest=sha256:b8dd336272c2ec0814b560362931c7809bea2ae28bcd8a7f07f68bd71631d136

Observation 165cd0f0-ee77-4662-8d89-b2ee17be86e4 · inbound

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs cites this paper.

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs Efficient Inference for Large Reasoning Models: A Survey

Reference 21

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no resolver link, observed 2026-08-06T20:21:51.911641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:21:51.911641Z digest=sha256:badb609394ca30fbcde0c0384a04ceae0c0ce9ae047bc41dbc3bdbe0398e3853

Observation b7566a28-5529-4dda-9bc9-adfc7da50aae · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Efficient Inference for Large Reasoning Models: A Survey

Reference 119

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source=arxiv_source observed=2026-08-06T17:54:17.361437Z digest=sha256:9f85f259333a0dd3dbe04971e5595332fb0d531f161e925ba166dc1bec76c1ad

Observation 6fc103cc-f07c-42e5-b779-012f071af935 · inbound

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning cites this paper.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Efficient Inference for Large Reasoning Models: A Survey

Reference 34

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no resolver link, observed 2026-08-05T23:32:55.083085Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.083085Z digest=sha256:e12dd898c4f2ae2d2358869fba75814df513f5a8b3062fb900b9d63519a71651

Observation fecd839a-b586-471c-8f58-45d1a3d0d9b4 · inbound

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization cites this paper.

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization Efficient Inference for Large Reasoning Models: A Survey

Reference 11

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arxiv_id, observed 2026-05-18T22:31:53.182304Z

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=2026-05-18T22:26:52.748349Z digest=sha256:da94633008915e440212bc898de3f29a0e906da27562c4567f438ff6fc774320

Observation b909ed04-3fa4-4a6d-a9fd-a0a41839ceb3 · inbound

Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness cites this paper.

Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness Efficient Inference for Large Reasoning Models: A Survey

Reference 30

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arxiv_id, observed 2026-05-18T17:31:41.478800Z

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=2026-05-18T17:31:28.644151Z digest=sha256:d1d76da517767a572d1338b688f16eed6f76b8b233fb1495fbbf0a9c2fe2045a

Observation 3437cd07-cf26-4b6c-976b-7db28d23c681 · inbound

DeepPrune: Parallel Scaling without Inter-trace Redundancy cites this paper.

DeepPrune: Parallel Scaling without Inter-trace Redundancy Efficient Inference for Large Reasoning Models: A Survey

Reference 6

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arxiv_id, observed 2026-05-18T08:41:08.696329Z

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=2026-05-18T08:37:53.886355Z digest=sha256:8c7db8d1ee70fc2a7982e6fb9fa4433204fa167b310587b7e3d7b7f095842f55

Observation b7ade2e6-8904-469c-bad7-9bc837897fa4 · inbound

Thinking Past the Answer: Evaluating Harmful Overthinking in Large Reasoning Models cites this paper.

Thinking Past the Answer: Evaluating Harmful Overthinking in Large Reasoning Models Efficient Inference for Large Reasoning Models: A Survey

Reference 18

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arxiv_id, observed 2026-07-01T23:36:22.550159Z

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=2026-06-28T14:14:42.351048Z digest=sha256:4780d49b9dc9cac498f6081ce030cb3843827015d789d6709c8301fa08681892

Observation 8d59996b-6af1-44c7-ba27-07d414e93030 · inbound

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation cites this paper.

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation Efficient Inference for Large Reasoning Models: A Survey

Reference 7

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arxiv_id, observed 2026-06-28T06:41:42.781743Z

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=2026-06-28T06:40:12.178170Z digest=sha256:1388370c060fdcea12ea6813bd3b5ee378754f2982acabb037ba3895cbd85780

Observation 20f3771c-12f7-444e-9d85-f0495e9480a4 · inbound

CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models cites this paper.

CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models Efficient Inference for Large Reasoning Models: A Survey

Reference 5

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verified exact
arxiv_id, observed 2026-07-02T13:26:58.113130Z

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=2026-07-02T13:22:27.566432Z digest=sha256:355c1eb006aa495e73a8e36b7ca8117ea31f1a2911f96746af982bbbb2f21e9d

Observation be6cc654-4de2-4505-a25e-2e9b2ef1d24a · inbound

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation cites this paper.

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation Efficient Inference for Large Reasoning Models: A Survey

Reference 114

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no resolver link, observed 2026-08-02T05:17:38.367538Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:17:38.367538Z digest=sha256:3f91994ed43d6ce40e3554eb9232a9fdf5e42a0c3f0179e478ba08afe4d08e6f

Observation 85b5b12b-36e8-4b0b-ab69-02ab238a07b0 · inbound

Workload-Aware Caching for Multi-Agent Systems cites this paper.

Workload-Aware Caching for Multi-Agent Systems Efficient Inference for Large Reasoning Models: A Survey

Reference 7

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no resolver link, observed 2026-08-02T11:22:56.753787Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:22:56.753787Z digest=sha256:dd37e658a345de167ae54f3313f43a71d38a137dcf33413ab27a6baaa43c0a21

Observation 818724fc-d9db-4a41-8164-b3abfd891ac1 · inbound

Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging cites this paper.

Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging Efficient Inference for Large Reasoning Models: A Survey

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:15:06.776629Z digest=sha256:82d462e1b076091ada7ab910029e5d0d72f9918beb0a6263220331728269c228