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Paper Citation Record · LEDGER

Sample Complexity and Representation Ability of Test-time Scaling Paradigms

As of 19 August 2026, this Paper Citation Record lists 100 of 126 outbound references and 2 inbound Pith citation observations for arXiv:2506.05295.

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

pith.paper-citation-record.v1
2506.05295 v2

Coverage vector

measured 100 of 126 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:40.491600Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:41:28.715713Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T18:16:22.223912Z

Reference resolution

100 of 126 outbound references displayed

  • verified exact2
  • verified fuzzy5
  • unresolved93
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f3e5c08-4b7f-4a64-9ad0-b414ae9c58c3 · outbound

This paper cites Aggarwal and S.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Aggarwal and S

Reference 1

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source=pdf_text observed=2026-08-07T10:35:31.263607Z digest=sha256:5c41e84c47e09e9bdacec9812332ee29ca122f791f6c630bbe38d8f053a4e1e9

Observation 1de233af-a246-42e9-bb67-92eeaba051b5 · outbound

This paper cites Agrawal and R.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Agrawal and R

Reference 2

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source=pdf_text observed=2026-08-07T10:35:31.374604Z digest=sha256:77358ae8752aa0b18aa3b96deee11d04a3c67a6b27b33259c3d5697cc78e1025

Observation 28e1641e-114d-4055-b832-26a353897eb3 · outbound

This paper cites What learning algorithm is in-context learning? Investigations with linear models.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms What learning algorithm is in-context learning? Investigations with linear models

Reference 3

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source=pdf_text observed=2026-08-07T10:35:31.465418Z digest=sha256:84645152697c4313417989950a7a8dc89c97345f321751aad1121fd5faf4d860

Observation 0c7b0ce5-8de4-40e8-9822-850fef468f15 · outbound

This paper cites Alberti, N.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Alberti, N

Reference 4

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source=pdf_text observed=2026-08-07T10:35:31.594408Z digest=sha256:06c8adc0b0ca74856a4cf43b3fc204bc6cb0b34c4d0cd41d4001efce682f1f73

Observation e4fb750f-102f-4691-8869-fa8a05a9f380 · outbound

This paper cites Exploring Length Generalization in Large Language Models.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Exploring Length Generalization in Large Language Models

Reference 5

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source=pdf_text observed=2026-08-07T10:35:31.656942Z digest=sha256:d114897012c1edcb6c63e3cf56e318b84a05383e6f899cd08cac9806af225e58

Observation db6b70ca-1927-4cee-9d81-fdcee9e4906c · outbound

This paper cites Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 6

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source=pdf_text observed=2026-08-07T10:35:31.737627Z digest=sha256:d743a7736a4f50c790c68e5c54d932e88753ec709f706c99fcd4fd1d0eaa2a4b

Observation bf123c51-6290-4af2-a030-68c5e2c85f7f · outbound

This paper cites Barak, B.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Barak, B

Reference 7

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source=pdf_text observed=2026-08-07T10:35:31.806231Z digest=sha256:7f337fbcc7c47fd1cfc469fe35929cf751725f631b224ce240fae1ed903f5e61

Observation 2503599d-69f7-4665-b20c-5fdd226677f7 · outbound

This paper cites Bhattamishra, K.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Bhattamishra, K

Reference 8

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source=pdf_text observed=2026-08-07T10:35:31.882392Z digest=sha256:e93a9ebf3d34a68a1b40f9e90c716ede454535aa7e07be83c12634482bd93bb5

Observation 091790ee-7c61-4915-b7fc-6a13aa7ac6cf · outbound

This paper cites Bhattamishra, A.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Bhattamishra, A

Reference 9

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source=pdf_text observed=2026-08-07T10:35:31.947397Z digest=sha256:2c8d150fe878b3f830e6b8f932b41bb6115b828bfd3f5a84c7c4eb772b1e5371

Observation 8b46d700-18f4-4b04-8681-1e2041bef902 · outbound

This paper cites On the Query Complexity of Verifier-Assisted Language Generation.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms On the Query Complexity of Verifier-Assisted Language Generation

Reference 10

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source=pdf_text observed=2026-08-07T10:35:32.017681Z digest=sha256:94e37a565780270484337a1531b3bde0c824e83ecef0fe4b9de7869001286326

Observation 20be0fd3-1b07-403a-b099-4abe818dbcfd · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 11

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source=pdf_text observed=2026-08-07T10:35:32.089958Z digest=sha256:4c4dbc35293e5e3076725edfada41af9963de634102087eaa30524364a44d215

Observation 2275c98d-47de-486d-88b9-bad12c79ff27 · outbound

This paper cites Brown, B.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Brown, B

Reference 12

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source=pdf_text observed=2026-08-07T10:35:32.162556Z digest=sha256:bdac300985ff9085e97de1c13afa2287b05e5b834a3c36b1ada4347963d1c391

Observation 482b234c-a524-4e1d-9df4-0d9af15a63e1 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 13

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source=pdf_text observed=2026-08-07T10:35:32.246474Z digest=sha256:dbcbd60ea3f38d3ec695b9781e01fb9cf7c6e18f9606a920d1823d6e505e13f7

Observation 74021a57-a2ba-4b01-baf3-85f2bf8041da · outbound

This paper cites Carpentier and M.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Carpentier and M

Reference 14

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source=pdf_text observed=2026-08-07T10:35:32.338683Z digest=sha256:bccf761761bbbe0868407e8aaa25af365c04db955cea12c015f7d593acd8731e

Observation e23e8ca9-4f63-4fff-9e48-a9e4293bc367 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-07T10:35:32.422828Z digest=sha256:03ce4842395de79c6b4e001fc04e0035217276487cb9d15265a2d68a01a660b6

Observation 858e4c18-6af0-4fe3-b506-9b3e4d0a970a · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-07T10:35:32.497071Z digest=sha256:a9232913b316fbdd60d04e9c1ba7b54fb1e94eec929f9ced34cc7d8d15006cc5

Observation b7a1d362-1761-40c3-873a-3c691b736e54 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-07T10:35:32.568071Z digest=sha256:3b2ba533285f032f409f59365233447648ca9fc555c4906e92e1e3669e704588

Observation dfab8aa2-4878-443f-9a6a-d4b6701345e3 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-07T10:35:32.640433Z digest=sha256:767c27bd3c7163ff3670d7b5ede625a876c168c8578627cab4b8e8144925dd10

Observation 5af40747-56fa-4d67-9220-efb53c98b8fa · outbound

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

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 19

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source=pdf_text observed=2026-08-07T10:35:32.731434Z digest=sha256:e8092cc9e6c7d04e10f7d871482ffc7da506c3ad1c7ff5b371515cc5450ed302

Observation 54d6edcd-869e-4109-9a4b-7b8632255b4e · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms PaLM: Scaling Language Modeling with Pathways

Reference 20

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source=pdf_text observed=2026-08-07T10:35:32.809555Z digest=sha256:0cfb7510b3060d74e2a83518205596bbaea8f1a6ece994b7748598317f449c51

Observation ec4cb032-a0d4-4748-a4c6-bc5f7706949e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Training Verifiers to Solve Math Word Problems

Reference 21

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source=pdf_text observed=2026-08-07T10:35:32.887559Z digest=sha256:bbd68edd16877f78882208cd426d177f73f56d89c25c76bea2fd9c83fb4b7b21

Observation a2b22f4e-3b74-4c37-8b7f-0ef28e015ff7 · outbound

This paper cites Codeforces, 2025.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Codeforces, 2025

Reference 22

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source=pdf_text observed=2026-08-07T10:35:32.988736Z digest=sha256:0f153a0893906a3250f1fd729ff81139155d2ae8539fbe4bb8cb43db5d29f295

Observation c55f0859-3091-4791-a80c-53eca61869e0 · outbound

This paper cites The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Reference 23

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source=pdf_text observed=2026-08-07T10:35:33.109279Z digest=sha256:496df282325e60ae46f2734c465fe28f5995f3edd821c0699eb67c78fee386b0

Observation 40769fa7-3b14-4c0f-8342-99c3d0a02007 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning

Reference 24

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source=pdf_text observed=2026-08-07T10:35:33.176881Z digest=sha256:c149b659ec496beea32a75d18d148f0fce39ba0183de06b68adc5d71a731175c

Observation fdb5f5fe-cd42-4fac-97bc-025a2535bd69 · outbound

This paper cites Universal Transformers.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Universal Transformers

Reference 25

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source=pdf_text observed=2026-08-07T10:35:33.244473Z digest=sha256:3649baceb7a80fd7978285a1f0de8d0af820a973a1edf9a8f2f41e075bae2137

Observation b2c8bbb8-2a9e-409f-ad45-55440e7df1c6 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-07T10:35:33.308916Z digest=sha256:6e1529e4d942e591f6858ed27c9eb284e89e7c9fd66617ae46c14c833bb9616c

Observation 021dba63-6778-4da3-9862-d577bddc0d98 · outbound

This paper cites Elhage, N.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Elhage, N

Reference 27

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source=pdf_text observed=2026-08-07T10:35:33.381333Z digest=sha256:07149b97fdbdf074c2e2fcb2f7faa65a9f29a625e4dbacb8af3e0863c0dc6b7f

Observation 89ba6b50-d8a4-4413-908d-6b3bc2fc1448 · outbound

This paper cites Even-Dar, S.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Even-Dar, S

Reference 28

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source=pdf_text observed=2026-08-07T10:35:33.453414Z digest=sha256:9550ba7a4fb7d7fcca0dedc6a58db9a38ed82bd8bf1f6b3fad986d2bcb8aec8a

Observation 6bcc1ea4-2d35-48fc-85e6-56a3f7944a39 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-07T10:35:33.525299Z digest=sha256:998763659140d7e6b58256a8169996bf5f85f597da2ffe95cf1cdb82500d8df9

Observation bd1cf12c-0a9d-4040-8465-c2e8df431de4 · outbound

This paper cites The Statistical Complexity of Interactive Decision Making.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms The Statistical Complexity of Interactive Decision Making

Reference 30

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source=pdf_text observed=2026-08-07T10:35:33.596382Z digest=sha256:86045fbe12f6acda3de0c9ff46306cb812a234e567939a7413c037568348c42f

Observation 943f917c-130f-447d-8d1c-4d5ef017f6f0 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-07T10:35:33.670067Z digest=sha256:dd5aaf7511a60ed26461ecd1bbb12e4a0761aeca3e0c33e94110e098771c4e78

Observation d5cc0dee-ce08-49d9-8da3-45b3b1d4d2da · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-07T10:35:33.738818Z digest=sha256:2a587cd19799464ca3310c6bcaab112b4d3c7e99621e4fb46e138699cfc162aa

Observation 723c52f5-ffcc-491a-8f30-bc2fb20c0fbf · outbound

This paper cites Contextual Position Encoding: Learning to Count What's Important.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Contextual Position Encoding: Learning to Count What's Important

Reference 33

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source=pdf_text observed=2026-08-07T10:35:33.813693Z digest=sha256:8f5f457e3e9ee7eea46d83c5dcc9e8180d4b28a1595a2baceefaaa91d70ed9e5

Observation 06b40dc0-b689-497f-aebd-f91588eb408b · outbound

This paper cites Aime problems and solutions, 2025.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Aime problems and solutions, 2025

Reference 34

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source=pdf_text observed=2026-08-07T10:35:33.877217Z digest=sha256:b2f939cac62d71e6afd0ad5e1f938caa91d4de65da71e07f700bead6caab8e56

Observation 97fa64f4-06d4-4412-8193-798e114dd181 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-07T10:35:33.947988Z digest=sha256:7d098c741afad704a88b98808f0b42036f2e9a6a379c1ded61d7be339d2a10ba

Observation 6a4ac736-81fc-45f6-ac39-2215efc3dcec · outbound

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

Sample Complexity and Representation Ability of Test-time Scaling Paradigms DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 36

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source=pdf_text observed=2026-08-07T10:35:34.032473Z digest=sha256:9ae38504614cdcc6d60683c74b4dc46ccd71de867e495b1485d9eb7a60d7af7f

Observation ad86ca89-93cd-4b56-97ab-2b939c7db808 · outbound

This paper cites Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation

Reference 37

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source=pdf_text observed=2026-08-07T10:35:34.131248Z digest=sha256:dfb0b44b07eacf5cbb849353640d84c54954ec90943ea9fcf45270f6e3891ca7

Observation 6ec6f102-13e7-46ed-97ab-af56dc5b6636 · outbound

This paper cites Hendrycks, C.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Hendrycks, C

Reference 38

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source=pdf_text observed=2026-08-07T10:35:34.203850Z digest=sha256:04a73bd34649e4a32e9e72475bcb39f7f576faef544a03741dc28fe63a9a8bb1

Observation 9dfd9165-162b-42a4-897c-05f8306f0f18 · outbound

This paper cites Hoffmann, S.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Hoffmann, S

Reference 39

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source=pdf_text observed=2026-08-07T10:35:34.607374Z digest=sha256:7a37777c66ab35377b665adc1946f03e416ed82847df475bc96ba90619845d7a

Observation 179cc3d2-eb8c-4a8f-a54d-9aa6771e01ee · outbound

This paper cites Self-Improvement in Language Models: The Sharpening Mechanism.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Self-Improvement in Language Models: The Sharpening Mechanism

Reference 40

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source=pdf_text observed=2026-08-07T10:35:35.274446Z digest=sha256:177c6f2a27468ace7097bd5ff3375b84338984df0cb5736d3972d9e4ef133b0c

Observation 70054a29-98fc-4f92-a128-d32fa43feaf5 · outbound

This paper cites Huang, Z.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Huang, Z

Reference 41

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Observation a75a2e96-6125-435e-9c26-c33295925585 · outbound

This paper cites Irvine, D.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Irvine, D

Reference 42

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source=pdf_text observed=2026-08-07T10:35:35.430836Z digest=sha256:2c7a6a9bfcb25092be68e854bcc5f5b4a134f546e9b8c027e698c015738d2de3

Observation 21b8c1d9-1c7c-4390-944c-d9ea5a01a8b0 · outbound

This paper cites Jamieson, M.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Jamieson, M

Reference 43

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source=pdf_text observed=2026-08-07T10:35:35.500328Z digest=sha256:dbb04d6f43773ca59f4af374af1c78e6fe3b31fb74858f9cc0a37dc438f32984

Observation 8cf32611-8da9-4622-b25e-3dd195b04329 · outbound

This paper cites A Theory of Learning with Autoregressive Chain of Thought.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms A Theory of Learning with Autoregressive Chain of Thought

Reference 44

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source=pdf_text observed=2026-08-07T10:35:35.552146Z digest=sha256:4d07cfcd947eac3f9fa1a02cc52329ce80698cd7e72cd16560f6352c5dc37413

Observation 97b8dd5e-2252-4a28-87ec-3b9e7e7f29eb · outbound

This paper cites Scaling Laws for Neural Language Models.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Scaling Laws for Neural Language Models

Reference 45

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source=pdf_text observed=2026-08-07T10:35:35.600619Z digest=sha256:66eb55d362c226c0571bfa52d4e5a89f8b7b5c47e470d5b3918adc7c1c973ce4

Observation 3ee7183e-8ffb-4161-a745-8252c340e21d · outbound

This paper cites Kimi k1.5: Scaling reinforcement learning with llms.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Kimi k1.5: Scaling reinforcement learning with llms

Reference 46

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Observation ef43cc52-812b-49f7-bfaf-35e3f5e5dccf · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-07T10:35:35.711468Z digest=sha256:a77842c29059fc67fc49b3e3c11641d07897837d3f04ce0b556d3450e3b0567e

Observation 56477224-28ca-472a-aa3f-317d8037ed91 · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Training Language Models to Self-Correct via Reinforcement Learning

Reference 48

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source=pdf_text observed=2026-08-07T10:35:35.784058Z digest=sha256:b1ef5d7625ced021a0cbc6a676a7825d599da966a1c690771579c5ca236b27b3

Observation c743a498-5b12-4980-b2b0-8284d1d5795d · outbound

This paper cites Can Vision Transformers Perform Convolution?.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Can Vision Transformers Perform Convolution?

Reference 49

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source=pdf_text observed=2026-08-07T10:35:35.850508Z digest=sha256:ebb1c39df05f9912dc6e467f4aebc21589cf5462167b917970d39d5bb6ea6b8d

Observation 16c3f123-7a4d-466d-abea-28441e90bca0 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-07T10:35:35.904484Z digest=sha256:bc77405ee37e7909d03466090a5041312603d167f8da6ebf10affcd9082addab

Observation 159f012e-4ba7-4d5c-951b-b77bf004f129 · outbound

This paper cites The Closeness of In-Context Learning and Weight Shifting for Softmax Regression.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

Reference 51

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source=pdf_text observed=2026-08-07T10:35:35.958726Z digest=sha256:fe1b337071f049a3092a4d92adf24ab68ab20e8ffcd8d94b6c2ccb14561e0da6

Observation 8c9458b0-7231-457e-a351-c925cd446f16 · outbound

This paper cites Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines

Reference 52

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source=pdf_text observed=2026-08-07T10:35:36.015670Z digest=sha256:8e86a02ee1467f6947eb741891bf77711a924760e126012272ed8885f7058faf

Observation dd605a39-25f2-4fb6-82f8-2c5c2efc2bc2 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-07T10:35:36.073455Z digest=sha256:26f951f1451964f090c2794843240156fe163434e598faef48807d88d6ba6f7d

Observation dae4161d-c791-40f6-9e6c-693df28b69e8 · outbound

This paper cites On the Expressive Power of Self-Attention Matrices.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms On the Expressive Power of Self-Attention Matrices

Reference 54

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source=pdf_text observed=2026-08-07T10:35:36.139688Z digest=sha256:433427bc4b51f9af5df26ba00fdbb04ecb99b7169f34286a751d2af8e7fc13d3

Observation c84e3eb6-9af2-4682-a82d-4f7318704b19 · outbound

This paper cites Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining

Reference 55

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source=pdf_text observed=2026-08-07T10:35:36.202620Z digest=sha256:c398167a7c68e1e0fe7a58ae279d63dfc31bcf3fd0cf00ba46a628dd6c6134f2

Observation 05479253-802e-4601-9dad-9a36a841c970 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-07T10:35:36.256262Z digest=sha256:4337634fd54254dccf0c0277f66cd70b87c9dc045db4313030d69e93390ed1f1

Observation 57831585-3380-467f-adc1-c3cd17489a82 · outbound

This paper cites Transformers Learn Shortcuts to Automata.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers Learn Shortcuts to Automata

Reference 57

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source=pdf_text observed=2026-08-07T10:35:36.314306Z digest=sha256:2486aa6ac1398489a55bb08659c5833488a6fc8cd6174ca259cd69edeb74b4a1

Observation 694fef25-e6bf-41ac-9e9e-9291934d416a · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-07T10:35:36.399543Z digest=sha256:240b48f9f3c6deed53e4fe65bcaef18a436437c7ce989f83816bff7ba167e8c2

Observation 7ebaf380-6631-493b-b7fc-dc84b66ee6a1 · outbound

This paper cites Madaan, N.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Madaan, N

Reference 59

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source=pdf_text observed=2026-08-07T10:35:36.474448Z digest=sha256:176ae4197edb4fdee0ddf316ce884a9169edd2c58f666ad571a3acd2420c897d

Observation 1279af67-3c47-4d21-8d3c-00eb0a553762 · outbound

This paper cites Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models

Reference 60

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source=pdf_text observed=2026-08-07T10:35:36.527726Z digest=sha256:9ac22cf2f4acac7f3f16f0f54c7ffda72e0d0118375317a7893312146b8cb655

Observation c292316a-99d1-42cf-aa41-7fda59bf8236 · outbound

This paper cites The Expressive Power of Transformers with Chain of Thought.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms The Expressive Power of Transformers with Chain of Thought

Reference 61

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source=pdf_text observed=2026-08-07T10:35:36.615180Z digest=sha256:76da5496f227f99216e9c0eb48d00108ca34381dbd8ea307e4811f6b63a10482

Observation 3599870d-bb19-4738-ad26-8cd80699efac · outbound

This paper cites Munkhbat, N.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Munkhbat, N

Reference 62

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source=pdf_text observed=2026-08-07T10:35:36.679835Z digest=sha256:8a41d09ebf20640f06a989cdeb8683f53a5f6ffd7bd5ecf484c3d3c7ea637ba3

Observation ecdb5e1a-1db2-4943-9c05-5a38c69d2141 · outbound

This paper cites Nguyen, D.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Nguyen, D

Reference 63

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source=pdf_text observed=2026-08-07T10:35:36.795119Z digest=sha256:99efd5a8923a9d36c415b9874574e97de454196f5b4b824cc7b4536f35b2761f

Observation f7ee8b3b-c52b-47c4-a84e-d3f4e7790834 · outbound

This paper cites In-context Learning and Induction Heads.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms In-context Learning and Induction Heads

Reference 64

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source=pdf_text observed=2026-08-07T10:35:36.937388Z digest=sha256:c11ac426c03c8886702ddf07f59ce954e8880a05465906564396f69fdb567385

Observation 73f99fd1-7880-48e9-a5fa-fb147f70ba08 · outbound

This paper cites Openai o1 system card.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Openai o1 system card

Reference 65

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source=pdf_text observed=2026-08-07T10:35:37.062418Z digest=sha256:87c47e8375a3129e1e914622c859fdda0e8489c232b3f88b91ceb441c93a90ec

Observation 8fa25975-9cce-42b8-84ea-39077102d11c · outbound

This paper cites Openai o3-mini, 2024.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Openai o3-mini, 2024

Reference 66

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source=pdf_text observed=2026-08-07T10:35:37.211354Z digest=sha256:c97ad3bbc5b848efd1a1c833a05bead69fab9e363c2a85d1de63f72329d1afbb

Observation e97dbf00-9c27-4fdc-9bea-58eb7a4622d6 · outbound

This paper cites Paszke, S.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Paszke, S

Reference 67

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source=pdf_text observed=2026-08-07T10:35:37.289631Z digest=sha256:b1ee71c883460a7aabfb69ebf77b2b55af99a21cf9297414f355a686c10530c7

Observation 874fb3e4-66b9-4b70-b8f1-96bf68a8c1b7 · outbound

This paper cites Pérez, P.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Pérez, P

Reference 68

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source=pdf_text observed=2026-08-07T10:35:37.377227Z digest=sha256:6718bf89ef5c06ae331df33a7476085a872f6406caa3f2863c712f651afb56f3

Observation 0188bac7-0a53-41cd-83a6-9e03b6aac7d9 · outbound

This paper cites Petrov, P.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Petrov, P

Reference 69

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source=pdf_text observed=2026-08-07T10:35:37.460343Z digest=sha256:d3dcdb5efea0721fb7f1a2160e141833a1954fa9fa316b3b7cfee6f3b29edcfd

Observation f62bbeb3-0f23-42d8-839b-adc3b227546e · outbound

This paper cites TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling

Reference 70

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source=pdf_text observed=2026-08-07T10:35:37.529991Z digest=sha256:992c9504a3c41fe85235b09a0f0365fdea1aa753539cf1d9981eddfeb7f46cc6

Observation c2f3e066-ffe6-42d3-8866-d5cb62a0cfe3 · outbound

This paper cites Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 71

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source=pdf_text observed=2026-08-07T10:35:37.612022Z digest=sha256:72a36b72a546863c8fd9e2ea3931dd74c197e6574d178aa6f035f9a407822a9a

Observation fc647274-7564-4c63-92b5-05e8b957c27b · outbound

This paper cites Russo and B.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Russo and B

Reference 72

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source=pdf_text observed=2026-08-07T10:35:37.723626Z digest=sha256:e2ed338d92db0c0e095be0132c84b164c9de35ad2e302c9de0cc9e9bc97b9d0c

Observation 0a6b5194-bf95-45fd-8e2f-e3162dd023bf · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 73

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source=pdf_text observed=2026-08-07T10:35:37.849260Z digest=sha256:7ac2f0225b9196ed9543aca942d7d719fd7f5444e87b0ab5541e5b39d085cef1

Observation e0e4fd3c-792e-4adf-918e-215295894e38 · outbound

This paper cites Scaling Test-Time Compute Without Verification or RL is Suboptimal.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Scaling Test-Time Compute Without Verification or RL is Suboptimal

Reference 74

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source=pdf_text observed=2026-08-07T10:35:37.965006Z digest=sha256:0f095b719d0510f0e416e7951ccc5f28efc26673942a8bfa7df61f2e2627acee

Observation 74917599-b916-4d9c-9711-2be70fff4475 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-07T10:35:38.061920Z digest=sha256:0818b1f51dbf34dbd58b6e32433bcb4009322990b1001aac44a3208d7fe5226a

Observation 27ffa459-7ec3-4804-94b0-db9d74f7c7c2 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-07T10:35:38.151238Z digest=sha256:ff82539248b74a4aa188c5dce37f78e26a1be002d49ab74ac35f28e8f3439faa

Observation e99cc63f-d617-458b-84c9-87bd9150003c · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 77

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source=pdf_text observed=2026-08-07T10:35:38.268748Z digest=sha256:28d6c83cf5e1569b9bc9d47d4fe7eddfd3d5eb4429076d423ecf837f6f5f9485

Observation 1c0905cb-9aa6-41d5-ac77-19d69cfcfcb6 · outbound

This paper cites Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models

Reference 78

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source=pdf_text observed=2026-08-07T10:35:38.336495Z digest=sha256:1cbed3616ad76bb47719f2552782d17ba1cc035b8283e0d1933dc7d10a7642d4

Observation 6abea978-665d-4298-9dc4-df11e4502e28 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 79

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source=pdf_text observed=2026-08-07T10:35:38.435625Z digest=sha256:7dd82823d5769d9c91b3b3472ba5c20bd7eb08de2523d593a47f5a22586d3ff4

Observation 17048fba-47d6-45a5-938e-dcb5b784ee91 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 80

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Observation 609e8753-af36-4bf4-9a0c-47b8338a16eb · outbound

This paper cites Transformers learn in-context by gradient descent.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers learn in-context by gradient descent

Reference 81

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source=pdf_text observed=2026-08-07T10:35:38.610485Z digest=sha256:686abff658d39fc9cf3b4675156fc49971d3d94667721f151417f6724b5986b1

Observation 4660a8ba-ba40-4365-906d-f00d5957c680 · outbound

This paper cites V on Oswald, E.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms V on Oswald, E

Reference 82

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:38.706796Z digest=sha256:2940e5976c95385986b54abbc4725e7763fe818561c5211e7451818ac4275776

Observation 7275694a-aac1-4dd5-9ea7-cd6dfa7275e3 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 83

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:38.854901Z digest=sha256:77bb5c5913b9441050dce3f7906594b22b3925a0f83afee51b4b17ff57a56598

Observation 051ea6f7-db63-4440-b59a-77bade0bfa5c · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 84

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:39.005089Z digest=sha256:4a60342b7a6df4a84070006622cfb339b1567b2fce510cc0b60f22d08c5eca4d

Observation efaa6c35-3461-45d9-8c86-d68e68440617 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 85

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source=pdf_text observed=2026-08-07T10:35:39.099727Z digest=sha256:ea8c675c0bd472abf35b3be3cba59b4c71e520a85bb293110ec800b2ae61ffef

Observation ca8584d1-5d9b-4b87-b9e3-98c0caa726df · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 86

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:39.191194Z digest=sha256:6a817b0c189a07a23f8d82302e2640867f29a73a6510920751a6dc2f799be6b2

Observation 6cbddfe8-df0b-4c4a-ae4d-3169810c82a0 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 87

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source=pdf_text observed=2026-08-07T10:35:39.314383Z digest=sha256:eab8a273c6aa0c9a6a462076cd365721ef6887107429ccf0b8b7051262d5cef4

Observation d3ceb4eb-f44a-4f31-bcd2-03ea29dc5941 · outbound

This paper cites Welleck, X.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Welleck, X

Reference 88

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:39.384721Z digest=sha256:527ba850b107971145d9ad396f3f8b1e41626277a09f87ca4f3c68ca8221f760

Observation bfb93d00-b598-4a93-988a-e1613a0fc9d4 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 89

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:39.503306Z digest=sha256:b31cfd7455e585aeb943b38d52a8b6d02266b1c8d9ab8b9f098d0b41a1ad756b

Observation 4ed96abe-1c07-4dcd-b40d-731add360c15 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 90

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:39.595356Z digest=sha256:70848fbc1ddec20f07dcf6683b7062cb9e2211c8859afc4da84f6477908545a2

Observation f735c041-e7ea-4857-861b-2fc035b4d1ec · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 91

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:39.687585Z digest=sha256:2f468495343d9be658ca8849b17b7ec424c451e9fcfa307dfbe495107da4f732

Observation ad43dd9e-c77f-4f94-acb1-bcc1d48d619b · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Efficient Streaming Language Models with Attention Sinks

Reference 92

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source=pdf_text observed=2026-08-07T10:35:39.777704Z digest=sha256:ee61862d308a591478ac9d99f38cfd3e12f0d2948e5987140d916bf5ccb48755

Observation e8a684b5-ad3e-43b9-ae7f-ad43e187c278 · outbound

This paper cites Qwen3 Technical Report.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Qwen3 Technical Report

Reference 93

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source=pdf_text observed=2026-08-07T10:35:39.862646Z digest=sha256:d35f02ef86da6747f2df4ac52c41a50ba0a97cb62e139d1a2a48a9c095045a28

Observation d88f27d7-9d47-4d18-a19f-e753dfa35181 · outbound

This paper cites Self-Attention Networks Can Process Bounded Hierarchical Languages.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Self-Attention Networks Can Process Bounded Hierarchical Languages

Reference 94

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source=pdf_text observed=2026-08-07T10:35:39.945202Z digest=sha256:646c1dcb961dbda50cfd7850e3c2bd094264d1bc52f9984e26252a5084c4babc

Observation 599c1a9b-342d-419c-8457-6a7b5f83da82 · outbound

This paper cites an unresolved cited work.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Unresolved cited work

Reference 95

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:40.031536Z digest=sha256:74ef0774910ff25530622ed10bac53c9ba1425fecde4289a1a2341bef9845aff

Observation 8133bf3c-f6d6-434a-b809-3f67a0614823 · outbound

This paper cites Zaheer, G.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Zaheer, G

Reference 96

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:40.116984Z digest=sha256:35b32172c0d624b238d5bb8e125d412d7bcc012c4c1b6a7a2d71ba4b0117378e

Observation bb0549b3-c6cb-424d-a49f-3835fa3f7a45 · outbound

This paper cites Zhang, S.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Zhang, S

Reference 97

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raw_fallback, observed 2026-08-07T10:35:49.142415Z

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source=pdf_text observed=2026-08-07T10:35:40.176094Z digest=sha256:90e60e39a089a532479660e355356ef3e6ce39622ae60ddf56db83ae234cc2d0

Observation fa0cbc38-aef4-48de-b254-95a7d48bd7f7 · outbound

This paper cites HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position

Reference 98

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local_arxiv, observed 2026-08-07T10:35:43.492055Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:40.183638Z digest=sha256:8b45adff8ece4e75fe306b9913df24065756e6f5e113410924ce6413c66cc153

Observation 7ff12146-2fd6-421e-bddb-b55a01cf3faa · outbound

This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 99

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source=pdf_text observed=2026-08-07T10:35:40.350270Z digest=sha256:ecf6f763a1304f71564cd5cf50ffc559567d5bad1801c8b5d97d88a1dd8ca2f5

Observation 82306cf7-ce89-4c96-b157-f279126f2aac · outbound

This paper cites Zhang, M.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Zhang, M

Reference 100

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raw_fallback, observed 2026-08-07T10:35:48.998776Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:35:40.491600Z digest=sha256:8e531aad62bf905817433154cd2cd6729b261091efd98e774e4ccdad98adadf4

Pith citing papers

Observation 6b824123-21a2-4d22-b7c8-e95d071e2567 · inbound

Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers cites this paper.

Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers Sample Complexity and Representation Ability of Test-time Scaling Paradigms

Reference 8

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no resolver link, observed 2026-08-03T04:22:25.964561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:22:25.964561Z digest=sha256:9cf076417b02e248420dd00f7a7be47b0ea1206e45f4566259da944cdf6ecae6

Observation 0dea7c6c-8bc7-4201-9e34-c63fc62b73a2 · inbound

FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data cites this paper.

FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data Sample Complexity and Representation Ability of Test-time Scaling Paradigms

Reference 44

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metadata mismatch
local_arxiv, observed 2026-08-12T15:41:31.449634Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-12T15:41:28.715713Z digest=sha256:f25df3dfa6535a047c7a7a4e3f4d7a044f55f32c60daf6a3b9c64a4a4d494f88