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Paper Citation Record · LEDGER

Teaching Small Language Models to Reason

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2212.08410.

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

pith.paper-citation-record.v1
2212.08410 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:24:43.556132Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 656bbdf0-841d-4e84-98e4-efd34d95cc44 · inbound

Multimodal Chain-of-Thought Reasoning in Language Models cites this paper.

Multimodal Chain-of-Thought Reasoning in Language Models Teaching Small Language Models to Reason

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T18:12:27.517396Z

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=2026-05-12T18:12:27.396607Z digest=sha256:8cd975fb8b0024b5370ef95c8365968422e70f82b1af60ec9821fe2a2ed15848

Observation 7b7addd1-9535-48e1-9bdf-f93c4e1b40cb · inbound

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes cites this paper.

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Teaching Small Language Models to Reason

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:50:09.450632Z

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=2026-05-21T20:50:09.265838Z digest=sha256:22ce6a88d8c66f32ca0ed6635d5f93b910f42f7dade0782c87965e8c9f235e5d

Observation 6355632c-9c7d-43fb-917f-4a2fa3a9dcb1 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Teaching Small Language Models to Reason

Reference 122

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:39:33.439789Z

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=2026-05-15T02:39:33.007894Z digest=sha256:2d70967bb57bab3840a74cc5e85412c2923643eeeb9cc521b988563813d98f9b

Observation 0e0514af-24f4-40b0-a19d-5d14fff91b26 · inbound

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) cites this paper.

Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) Teaching Small Language Models to Reason

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:52:37.483544Z

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=2026-05-23T05:47:48.488826Z digest=sha256:39e938a536a25542099455251b8180ee63989c6733b80b52c7b85c2ac8a27fa9

Observation 941561c6-87a9-4b3b-9fa7-c6ed7589c291 · inbound

Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs cites this paper.

Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs Teaching Small Language Models to Reason

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-08T11:24:43.556132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:24:43.556132Z digest=sha256:895c955fbe1540b0641509edc5f877a280cf5d8f9bddd037fba474fe8955224b

Observation ac07148f-d7dd-4a42-8e74-124131e64215 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Teaching Small Language Models to Reason

Reference 131

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:08.717471Z

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=2026-05-22T21:20:07.238992Z digest=sha256:3c43c032b6026b17296d281c63db212d84116bc9b7509b08a4d7823ead4ab404

Observation 8bfb1776-7273-40cf-a107-84bab7478474 · inbound

Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster cites this paper.

Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster Teaching Small Language Models to Reason

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:33.263968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:33.263968Z digest=sha256:a6bd6571adf3b801dbd164df8b11251db28bb074af8214ffb1e93fe146e8ccc8

Observation e798ed4f-25e6-44f6-a256-bf92e4639cb6 · inbound

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models cites this paper.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Teaching Small Language Models to Reason

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:08.363480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:08.363480Z digest=sha256:49262b7dd620182ef6653da5f2dbb3434eaea05a56e9f992fe26759415cef0ad

Observation 6d6a7199-fcda-42f4-99fb-77b23b6d8f91 · inbound

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability cites this paper.

Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability Teaching Small Language Models to Reason

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:22.360176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:22.360176Z digest=sha256:fed2530b208da16c4287678bd4d21a55f1039d2a1bd6d716264f89cc69dfaa4e

Observation f93debd5-9034-4772-aeb9-9a6835c40b0e · inbound

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models cites this paper.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Teaching Small Language Models to Reason

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:44.241250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:44.241250Z digest=sha256:ada8837e09f2d1c07934409f8a3f02e5d3e9c095b2bada115ac008c2e30a7526

Observation 658038fb-0df3-4a0c-94ee-9ad55d451652 · inbound

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search cites this paper.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Teaching Small Language Models to Reason

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.542301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.542301Z digest=sha256:9cb4aa91dd14fcc358f382b8dc66e3abe2c26b496d802d38f91a5ef81ddf4e94

Observation d7c68f6b-1983-479c-82ab-50ee856eeb2b · inbound

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data cites this paper.

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data Teaching Small Language Models to Reason

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:53.590427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:47:53.590427Z digest=sha256:c0e8cd6db22f115ad5f6bdf6074aa634f148af92b310e796a17104525cf0cab6

Observation 07dcc90f-6ed5-4795-8cf7-e65dd77016d3 · 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 Teaching Small Language Models to Reason

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:17.449758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.449758Z digest=sha256:5e1628ac78371c95728067326801f7c976667665d396a77af714ddeaa2b6abb9

Observation b122cbaf-335a-4c4d-a187-8921207f7443 · inbound

Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLM cites this paper.

Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLM Teaching Small Language Models to Reason

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T13:08:10.816109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:08:10.816109Z digest=sha256:2de1a7bb26c9809baf1f9520610f8ad72b8eb5b859f4af25903bcde3cc516108

Observation 0ef6de06-813d-43f0-88b6-3de4d4f7269e · inbound

Do Cognitively Interpretable Reasoning Traces Improve LLM Performance? cites this paper.

Do Cognitively Interpretable Reasoning Traces Improve LLM Performance? Teaching Small Language Models to Reason

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T17:40:53.941913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:40:53.941913Z digest=sha256:da9f1c8b3628cfbe3e62733edae9f6aacc9515b71f0573b99250fe33e5edfd15

Observation 57fad5b4-b2a1-446b-9f23-337d06031d0e · inbound

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs cites this paper.

Student-Centered Distillation Narrows the Agentic Gap Between Small and Large LLMs Teaching Small Language Models to Reason

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T17:57:52.405123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:57:52.405123Z digest=sha256:b62f2f8243b2da34ebaa92287d3978f72c055a53eaa7186009c606d9008885e1

Observation 576ad506-4fd9-4df3-b230-461ae9df2b90 · inbound

VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation cites this paper.

VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation Teaching Small Language Models to Reason

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:50:25.727013Z

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=2026-05-08T19:34:02.860270Z digest=sha256:dd7466e73b70514fc25b68a5a57f4ee6e1eaedd94f98a3746f5978a951773290

Observation 67bf099a-bb0b-4870-b279-85e02a6ee13b · inbound

Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding cites this paper.

Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding Teaching Small Language Models to Reason

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:31:09.023400Z

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=2026-05-09T16:29:05.186607Z digest=sha256:4e0bf7a8f985cc3739a649852112fc7b62b694653ef638bd45788ed5794c76ca

Observation af875a7f-0827-4b4a-8974-550d4a8a2138 · inbound

Generative Spatiotemporal Intent Sequence Recommendation via Implicit Reasoning in Amap cites this paper.

Generative Spatiotemporal Intent Sequence Recommendation via Implicit Reasoning in Amap Teaching Small Language Models to Reason

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-29T10:13:17.730864Z

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=2026-06-29T10:10:14.655556Z digest=sha256:06d9225397f71ccb69261bb89c36b77298aa731126db030da3e782f7a36e1f28

Observation 840fdefe-0969-41e9-b3cc-5e9785f0a9f3 · inbound

Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation cites this paper.

Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation Teaching Small Language Models to Reason

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:46:55.523872Z

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=2026-06-28T03:06:43.492669Z digest=sha256:b6004d9a74a338a03cd0df7a6d53b41e2228624cd4d54ab91016a278abc68c5a

Observation 7777d956-a231-4a8b-8902-85d96866067a · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Teaching Small Language Models to Reason

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-28T07:11:45.235676Z

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=2026-06-28T07:05:18.026601Z digest=sha256:17dc4207ccce6f77f5b03bcec12a93a4a75713f2c7e08f9bc7f185f98ea9e92f

Observation 7ecf33fd-0cc0-4e79-a9f7-66ee46253f5a · inbound

Visual-OPSD: Cross-Modal On-Policy Self-Distillation for Efficient Unified Multimodal Reasoning cites this paper.

Visual-OPSD: Cross-Modal On-Policy Self-Distillation for Efficient Unified Multimodal Reasoning Teaching Small Language Models to Reason

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:49:02.309751Z

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=2026-06-26T21:47:51.437284Z digest=sha256:9af71bbea3c0ea11d467eb2f17377f40e12d77e81a98f900c924ce1cfb6a85d9

Observation 647a5874-5763-4a1f-8eff-b998eaf9d51c · inbound

Knowledge Distillation from Large Reasoning Models to Compact Student Models: A Case Study on the John O Bryan Mathematics Competition cites this paper.

Knowledge Distillation from Large Reasoning Models to Compact Student Models: A Case Study on the John O Bryan Mathematics Competition Teaching Small Language Models to Reason

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:40.473878Z

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=2026-07-01T06:12:33.386915Z digest=sha256:ae4f5c13b9f2c29099d506298b3bc5cab11501f2749eab95bff4d3c802f05b05

Observation fa2c8231-2f81-4080-b0bc-d11294536dc0 · inbound

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization cites this paper.

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization Teaching Small Language Models to Reason

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T05:09:56.295699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:09:56.295699Z digest=sha256:a11a792dbaa9de4ed1039bc4bdabef46517ac407213e488b1b43fdc50e11ae32