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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 9 inbound Pith citation observations for arXiv:2508.05282.

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

pith.paper-citation-record.v1
2508.05282 v6

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:32:55.170251Z

measured 68 of 68 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:21:53.328551Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:21.518511Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved56
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b239c93-557a-407f-8862-4cc4d0d9101e · outbound

This paper cites Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Intent-Aware Self-Correction for Mitigating Social Biases in Large Language Models

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.960401Z digest=sha256:2ee383576603da9c33f1f1785c278d9be3e7619525399a24c219602be02156eb

Observation de4aa2ed-20e3-4d51-b9c3-f450c081d1c9 · outbound

This paper cites A Large Language Model-Enhanced Q-learning for Capacitated Vehicle Routing Problem with Time Windows.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning A Large Language Model-Enhanced Q-learning for Capacitated Vehicle Routing Problem with Time Windows

Reference 2

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no resolver link, observed 2026-08-05T23:32:54.964758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.964758Z digest=sha256:25a3e441000b9960817401d5d127003178630b0696d95261063ed7dbcd64e6d2

Observation 573c756c-d0bc-4e4b-9861-79b09ead6c80 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-05T23:32:54.968813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.968813Z digest=sha256:189ea2f608ecc1020ed19c6ab3eae4813226b4426925be1acbfd6846c3190b04

Observation dd4421eb-56e0-47de-9783-72aea1fefc32 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 4

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no resolver link, observed 2026-08-05T23:32:54.972309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.972309Z digest=sha256:6761a481abea6c3708f91be43b0b24b8c713ffff159d1c144f2d51f534218788

Observation 4c2a3c9b-4a8c-4339-895b-30b03f5a4ebd · outbound

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

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 5

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no resolver link, observed 2026-08-05T23:32:54.976790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.976790Z digest=sha256:3d2a61cf0db42e331c01c7445706a62a18b7cbb60d3eef6040d3965f8bde871c

Observation 53935183-45e8-4a75-a4b5-56490f97ea2d · outbound

This paper cites Zero-Shot Verification-guided Chain of Thoughts.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Zero-Shot Verification-guided Chain of Thoughts

Reference 6

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no resolver link, observed 2026-08-05T23:32:54.980410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.980410Z digest=sha256:77f3a27e2863be583806b1f7ad3974ca1e6d8f2e1dbdc8039c9bfd106a90bb71

Observation cd2b4d1b-d958-41f7-bbaa-e77f061bec9a · outbound

This paper cites Learning to Compress Prompt in Natural Language Formats.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Learning to Compress Prompt in Natural Language Formats

Reference 7

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no resolver link, observed 2026-08-05T23:32:54.984357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.984357Z digest=sha256:17ef3c0c6ec40a4d19d15d372f914961aadb7d8606db5de54c4f4b6440feb8da

Observation 1d431188-7dd1-4a56-8a5a-f5c18408ebbd · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Training Verifiers to Solve Math Word Problems

Reference 8

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no resolver link, observed 2026-08-05T23:32:54.987821Z

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source=pdf_text observed=2026-08-05T23:32:54.987821Z digest=sha256:6b7782309fd5a81573ee464985b67f851f81a84516c79c896ab73a4794515e69

Observation 6f68661a-e0d0-4f5e-bca4-04a9e00c3c1e · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.991109Z digest=sha256:2aece0b5f79252ab826369c823ca982efe6eb7e49d8949b656809d80b96ef845

Observation 55fc8108-237d-402e-bc36-cd66de803c65 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.994438Z digest=sha256:efc10b648f46a993b8eb8efd401fb796df11ed4ba260a316576a21a9234163f2

Observation fe04b8f6-826f-4da9-8c1b-731f3803f7ce · outbound

This paper cites Dynamic Parallel Tree Search for Efficient LLM Reasoning.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.001261Z digest=sha256:a7c41490f8c266ff445b52bca684dfbde4b60aed5df7955a3e1b61d298a5e3fd

Observation d6750712-6789-43a0-8b92-61b36e8e0c86 · outbound

This paper cites LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.004748Z digest=sha256:a87966cf4c3f49cf8ad7872826b6eb3dbf51d54a3da97e069c5c2bb91841b482

Observation 00c748c5-79d9-4235-9a02-9a3f65b9b794 · outbound

This paper cites In-context Autoencoder for Context Compression in a Large Language Model.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning In-context Autoencoder for Context Compression in a Large Language Model

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.008182Z digest=sha256:fb68cf20a2c178c5aa080ba50cddd42c184471fa24b4859fcd6adfb517dfbdaf

Observation 34afb897-e27a-460b-9f67-0f53c6875cd8 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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source=pdf_text observed=2026-08-05T23:32:55.011438Z digest=sha256:562e9ae4862ae9a7f185c456658068f990a6aed59fe19fa9e1a80ee996f397d2

Observation 8ba20b1c-72e0-493b-9f77-267dadbfb5e8 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 15

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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.

source=pdf_text observed=2026-08-05T23:32:55.014732Z digest=sha256:f54184aa5e1f858f091f244a830b7de67edb1004ad03a37212171047c8259167

Observation 76ff0e3c-d9aa-458a-8fa4-29f1638d5ec2 · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Token-Budget-Aware LLM Reasoning

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.017981Z digest=sha256:931cf4ac2ff959820614f5bc22dadcb3ef847b847f9abfe4db14f09a6884ce60

Observation 4e5414e6-e8a6-4432-8cd0-3ed7e16f9054 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 17

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source=pdf_text observed=2026-08-05T23:32:55.021515Z digest=sha256:f018aa367b990bc491d9baf6724664b6e1b05e0114f98ba4147e282d9461451d

Observation 9d449ec6-f218-4da5-9362-4de95306f401 · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 18

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no resolver link, observed 2026-08-05T23:32:55.025822Z

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source=pdf_text observed=2026-08-05T23:32:55.025822Z digest=sha256:eb59b05ef7bd83a21d5245dd1c842d9a512e7af4e89a3884bd55563d4b00fcc4

Observation a0ddddc7-d70b-4646-b8af-52ce81188bfb · outbound

This paper cites Token Dropping for Efficient BERT Pretraining.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Token Dropping for Efficient BERT Pretraining

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:32:55.976331Z

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.

source=pdf_text observed=2026-08-05T23:32:55.029396Z digest=sha256:8ffc90ec490cdbaf59d95a75db936eebfa082fe2fdc5bd2868fbad7f42e21e06

Observation 4ed12688-87db-4bd9-8109-77b94766e2c5 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-05T23:32:55.033033Z digest=sha256:aded0497ea8cb5215ebb9b7ca8a09f58e933ef3744cd6a73c14f879942e6b00c

Observation f863bacb-5e0e-4809-b9e9-d93f2e10bd45 · outbound

This paper cites OpenAI o1 System Card.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning OpenAI o1 System Card

Reference 21

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source=pdf_text observed=2026-08-05T23:32:55.036284Z digest=sha256:0ae0414fc19461ee9f3a6b47ddd535d3b796784fb44ee1ba9ded326b816db62b

Observation 9eb3353a-083a-428b-94b4-8f6271b33a96 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:32:55.040063Z digest=sha256:f99dd59967ed0353ded571ab21f9ae8ba2e86eef397fd7f2b98004565a4c0802

Observation 99a71471-56a3-4bea-8f64-004089d7a5fe · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-05T23:32:55.044270Z digest=sha256:cd10f593575a6624f9bf85e5c773fa1fa81d4935871bdf781a558a5ca5eda0fe

Observation f0009750-13fb-457e-a679-b992c64688ef · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T23:32:55.048069Z digest=sha256:f3f3259d529c1b2e8db291ac35aad09d2da7c63c471f81c1708c608f61ef985b

Observation 955c35a7-ed0f-4294-b307-b68cdc703b08 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-05T23:32:55.051873Z digest=sha256:5f0bb96ca05daba10c64be679f6be1556b5b2e888896cb9a337335fcb80f2f3b

Observation 0d1e69eb-c6db-4d74-aeb6-a1a576ef057b · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-05T23:32:55.055013Z digest=sha256:4f297fb2c4db7593ed01178a9ab2303661688f224f869eb325ac9ce39766da63

Observation ddafbf9e-5fb5-421f-b827-6777f90ebc55 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.058769Z digest=sha256:df14c1fc790aaa29893a417daa22c168f543407b0d6686531f4ea91ac8442995

Observation 717b18ec-2ce8-4a1f-92a1-3ce921b4b5f3 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-05T23:32:55.061794Z digest=sha256:9a508f00e4827432ef7f9ed3a16c0db77cc85a5ca9b5ead95312861ed15d2aac

Observation 8ef03a18-49e2-48a5-9e05-52b291b1418d · outbound

This paper cites Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 29

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no resolver link, observed 2026-08-05T23:32:55.065673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.065673Z digest=sha256:093b7aca48a0142233c573a6fb225d0e9751d4cf9623e9ee02b35c1eaa341544

Observation 2727091b-3411-4d1e-8256-795458006f7b · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.069670Z digest=sha256:d3a9f69d51a084407ab71a46ee36d5158825e018ea310dd16f5bf7e3c88c351e

Observation e0a6d473-7b8f-4f84-9d28-aaef26124600 · outbound

This paper cites Large Language Models have Intrinsic Self-Correction Ability.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Large Language Models have Intrinsic Self-Correction Ability

Reference 31

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source=pdf_text observed=2026-08-05T23:32:55.072733Z digest=sha256:ab9000a212cd5071899ce68a097e31d9d740b63374773ec8c1c6f67b916696d5

Observation 4b5c3712-fd81-4b76-a3e6-5153ad2672bb · outbound

This paper cites Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:32:55.627180Z

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.

source=pdf_text observed=2026-08-05T23:32:55.076235Z digest=sha256:a23acef1c7d36656582d70007f345001eb5c5f6969f128c7815d4d24140ca9d4

Observation cda46fa9-5db1-4fd8-8c23-8645d2f133c1 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-05T23:32:56.191637Z

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.

source=pdf_text observed=2026-08-05T23:32:55.079914Z digest=sha256:3d2d757aa2ee3c6d582a394d2dd516eb9f9d0817658d0709e7c81b3cb1b6369b

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

This paper cites Efficient Inference for Large Reasoning Models: A Survey.

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.083085Z digest=sha256:2b9085e8255eea26505372cdfe3633d1627b75254c73bb438147dc0305ae9b3c

Observation f62dfc6e-c3b2-41b6-a537-b1474be6a595 · outbound

This paper cites Decoupled Weight Decay Regularization.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Decoupled Weight Decay Regularization

Reference 35

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source=pdf_text observed=2026-08-05T23:32:55.086492Z digest=sha256:b757fbdbd54c9d1259518fb8ffe43448a5f4a64927d2fb795ab6b4fb031c8163

Observation 99ffad78-b844-4656-9806-c3f933a5197d · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-05T23:32:56.181474Z

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.

source=pdf_text observed=2026-08-05T23:32:55.089825Z digest=sha256:6b32adc50c6d004cc8522503b56398811be367c659f1b3e0f8f5e7bc21ff6286

Observation f532cf3b-7f02-44b3-af8e-a40f8dd502ab · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-05T23:32:56.172340Z

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.

source=pdf_text observed=2026-08-05T23:32:55.093128Z digest=sha256:417631ba8263d67288ab55688466e1a867c0d04a545d36b56b8c910340fe0b53

Observation de9fbb92-a533-4207-a8aa-309bfb3208a3 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:32:56.152324Z

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.

source=pdf_text observed=2026-08-05T23:32:55.101493Z digest=sha256:03697739b4e1c8a0920ec42a31b63644be783f0b2162be2b3f31fcc30949e367

Observation 5639d9a1-b61f-4846-b562-b60c055402f8 · outbound

This paper cites Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.104882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.104882Z digest=sha256:29e6ea31e99c7a0fc7dc7d5c2660944ca5aeda7afe2a090d65d928a292bfcef8

Observation 2e92313e-80ee-4f48-b44d-86c392db01ef · outbound

This paper cites LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 40

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unresolved
no resolver link, observed 2026-08-05T23:32:55.108925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.108925Z digest=sha256:f9275a866826fcc3b61b39fd0ad3e2411b90eb7dbf13ce52fb8df527d260d346

Observation cbcaaf7a-afcb-4bc6-b393-f39e84c8a288 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.112857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.112857Z digest=sha256:92af45f2f7f168c4ce51bf634b7dd5b5c44b2cd5f71a87cb4d96521f4c792c7f

Observation b62b6dbd-0f9a-4e62-8cea-f79c1c6d2ae4 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:32:56.136970Z

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.

source=pdf_text observed=2026-08-05T23:32:55.116178Z digest=sha256:0285345a4d0e1fdd86a2d1c6e644cee49636218f1210f023781a18543c02c68b

Observation 057257c0-4a60-425b-be69-bc36457d3259 · outbound

This paper cites Qwen2 Technical Report.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Qwen2 Technical Report

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.122795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.122795Z digest=sha256:39bab7a0fefb5a8769b47ac3e3cec173fa814945fc466e20e406c8b0530985c4

Observation a415c515-0c6f-4943-8fa1-52ba38cab781 · outbound

This paper cites LLMs cannot find reasoning errors, but can correct them given the error location.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning LLMs cannot find reasoning errors, but can correct them given the error location

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.126057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.126057Z digest=sha256:fb3819bceb63a4f70e34addcd9800afc80e0bbcf86547b513f93e823c72c80b4

Observation a0fe4d28-eecf-4818-a2d7-68b902d5c007 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.119315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.119315Z digest=sha256:f78cbfbc4b3536a8a95a41faed8581eb34f30b082b3087d1209d6ccb3a923a1b

Observation 47d9fbd8-82bc-4486-82f7-082fc576e84f · outbound

This paper cites SCOTT: Self-Consistent Chain-of-Thought Distillation.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning SCOTT: Self-Consistent Chain-of-Thought Distillation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.133943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.133943Z digest=sha256:0b5ae5f0249075e41eae9d4b4557b65dbdd30010117b823e205ccea38d27fccf

Observation cbb13c88-edb6-46cd-8234-35033c4a9936 · outbound

This paper cites SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.137735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.137735Z digest=sha256:7ce16425c386398dd35e32832ad5891d964cebfc9dd16f0856cfa733e184a97e

Observation 0108e8c5-e3af-4631-ba49-909cbc10c3da · outbound

This paper cites Investigating Mysteries of CoT-Augmented Distillation.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Investigating Mysteries of CoT-Augmented Distillation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.129483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.129483Z digest=sha256:8a36f3becd40d05c06294366b901b167f56d2997bf15320a8fc176371f20c29a

Observation 5d8d6758-02f3-4e8e-b59c-658b2361a91d · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.145511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.145511Z digest=sha256:d61da50134263450be34872393b534f59c81b78741fc35596589d494d54c3f71

Observation 28d3357e-f804-4b79-871b-bef7ce6165af · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Chain of Draft: Thinking Faster by Writing Less

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.149323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.149323Z digest=sha256:35657b78e1c3f7fbdc1f16282d1cae4d024b84e1ac94186861c4798ac1104064

Observation eb55b45a-b5e4-467e-9a33-f12fa80d56e8 · outbound

This paper cites Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.141130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.141130Z digest=sha256:1ec5d31980e5c0a2f22d5115a77daf76c8ea294f69b5abf2a0fcd2ad4799b90f

Observation 4bdfda50-1c54-4dda-9721-25b4f9f42947 · outbound

This paper cites Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.155806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.155806Z digest=sha256:f5f7984093d0de7da53aa88ec61333b631ac0baf2754e416f5db06bbc0f50d9d

Observation 6c49321e-18f1-46af-96ce-7e06fd8c853a · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 53

Resolution
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no resolver link, observed 2026-08-05T23:32:55.160064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.160064Z digest=sha256:1c19cdae8791ebc8b52c4aae75bd16f47b50337d187b82afdedb328fc3755a8d

Observation e190eaaf-ded0-4ccc-aaa1-b49c3e847e3b · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:32:56.126079Z

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.

source=pdf_text observed=2026-08-05T23:32:55.152807Z digest=sha256:6fecbf9b41b4a0bde1cf32b84e8b985d69587398978c968b84766082a60f5678

Observation 113fceba-bb44-42f3-b143-2e650034fe89 · outbound

This paper cites an unresolved cited work.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.167208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.167208Z digest=sha256:c7226f06778d64800b0a40112d977701eef16bcaa49fb71150432922418974c1

Observation 3769b973-d17c-46e7-9ba7-3fca67864c2a · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.170251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.170251Z digest=sha256:591e42e745b3d65dbc0597f06e18e2eea4687472f5f22cfe1e9e732e8344284c

Observation 4442648b-bb21-4c38-9a8e-43a87618d6ef · outbound

This paper cites LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.163365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.163365Z digest=sha256:26f3f72c22d92607d98c8a5e270d774f9c14c4a24be897baece334f89c20b977

Observation ac52a1c5-ae92-4d41-a1c0-e7e5dfa0ee99 · outbound

This paper cites Break the Chain: Large Language Models Can be Shortcut Reasoners.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Break the Chain: Large Language Models Can be Shortcut Reasoners

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:54.997930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:54.997930Z digest=sha256:baa8609d0f31d3f654a24b63c917a489c9065397ae442d6105e33fb15193a711

Observation 180758b5-47f7-44c5-bdbf-a427c5ed5b0d · outbound

This paper cites InProceedings of the AAAI Conference on Artificial Intelligence, Vol.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning InProceedings of the AAAI Conference on Artificial Intelligence, Vol

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:32:56.162832Z

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.

source=pdf_text observed=2026-08-05T23:32:55.097353Z digest=sha256:3aad2aa12e846e76c6961b4a7559f3128394e0cbf81a3b3e7cd89f335a532e99

Pith citing papers

Observation 4c5bfa9c-4ace-4248-9d36-2ffff753fc78 · inbound

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics cites this paper.

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Reference 35

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unresolved
no resolver link, observed 2026-08-05T14:21:53.328551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:21:53.328551Z digest=sha256:4ddd810e283a6a47437780b47dab462bf0eb2053381e3b822dd1a2efa39989e4

Observation 5cb47738-9bc9-4400-ba24-4c1b8ab5c184 · inbound

Agentic Reasoning for Large Language Models cites this paper.

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

Reference 292

Resolution
verified exact
arxiv_id, observed 2026-07-22T03:21:57.840860Z

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.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:52e6f868a5848955d30df1ebdd3ee2c47225a315fdc916d34082d8b34c55c613

Observation fe722404-e18e-4bdb-b301-e6d924d404e2 · inbound

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations cites this paper.

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-22T03:21:57.840860Z

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.

source=pdf_text observed=2026-05-16T03:43:18.987241Z digest=sha256:92b1c776c2f93e1f71f162a6f7965dd8246de25643a5e585b1fe4df78b15caf5

Observation f14f8410-d76f-4b01-94fd-212084f851b7 · inbound

Controllable Singing Style Conversion with Boundary-Aware Information Bottleneck cites this paper.

Controllable Singing Style Conversion with Boundary-Aware Information Bottleneck Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-22T03:21:57.840860Z

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.

source=pdf_text observed=2026-05-10T18:51:38.030059Z digest=sha256:a206f3a4bdc49126a227f31ece378e6a0beae354b2deb31838c20afb622276a1

Observation a30b7585-f55d-4bf0-995a-f9248bea70d2 · inbound

Sparsity-Aware Voxel Attention and Foreground Modulation for 3D Semantic Scene Completion cites this paper.

Sparsity-Aware Voxel Attention and Foreground Modulation for 3D Semantic Scene Completion Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-22T03:21:57.840860Z

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.

source=pdf_text observed=2026-05-10T20:22:04.663359Z digest=sha256:54c070df5d466555c1f57061bd29c7f794e1d31e3644aa8884a0b78ed52ae5ed

Observation 08696b74-bf27-4d0a-a03a-92262bea6c02 · inbound

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning cites this paper.

CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular Reasoning Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-22T03:21:57.840860Z

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.

source=pdf_text observed=2026-05-10T16:18:38.658857Z digest=sha256:1a06d0511ae851a3c9c38bffcf51f1223ebb3f312349f6cce9123afce72df6c3

Observation 16abe5a1-c8ef-4e6c-a780-b6763d443719 · inbound

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models cites this paper.

FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-22T03:21:57.840860Z

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.

source=arxiv_source observed=2026-06-30T07:07:00.265141Z digest=sha256:9084296d83fc60d9b1757f42538799085d852f7a84c2028fb14ae7f181cb8507

Observation 05a0f91a-5b99-4951-8846-aec3d412fd80 · inbound

Better Starts, Better Ends: Bootstrapped Iterative Self-Reasoning Distillation for Compressed Reasoning cites this paper.

Better Starts, Better Ends: Bootstrapped Iterative Self-Reasoning Distillation for Compressed Reasoning Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T22:30:29.855076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:30:29.855076Z digest=sha256:647dfd980f3b3ed87ba8297ce98feb2d043e4fef782f2b8b57174bd04120e809

Observation 7053e410-e46b-4c62-b29c-b229a461cba2 · inbound

Parameter-Efficient Fine-Tuning for Spiking Point Cloud Models cites this paper.

Parameter-Efficient Fine-Tuning for Spiking Point Cloud Models Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-03T14:41:13.420222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T14:41:13.420222Z digest=sha256:14641efcc6e990b0967997514f9a97d242c615339958bf86133d5f76e5098dfe