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Paper Citation Record · LEDGER

Teaching Small Language Models to Reason

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:22.360176Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T18:12:27.396607Z digest=sha256:129ce317ab9406c2ac040d049a91166ea751329a2ca756ffbf58f98b6e65a3d3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T20:50:09.265838Z digest=sha256:b0e0372828212ddf5aa970bd6dbd37d8bf22783f84b3ce33ce2feb38dabb3368

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:d899af5c2e29a11fd6679208c9d1d26a16ea422ba19d190d133e89d135ab64cd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T05:47:48.488826Z digest=sha256:4fd88324be96339c37023a71dbe0bd6a6b3f584f98d9807c71d0a47c98e6fc51

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:97d056193d0f7e484fef27b0447e7bf27e85feef4a1e28fc173b76f99aacf8a8

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=sha256:1a4111656a3dbbf3ff1d1e2c1854c8e4ae66bd1b796c44f53cea79b44f86d487

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=sha256:12a277cb8979413efff4cdbde6fb5787c92d4a8fdf5807623f1a45bd7762bbad

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=sha256:58ca796f2e3a99f6bf1b98d38d6ed021d726c7911292e654b3bdc5647b670bd4

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=sha256:9fd0ef6b63fb1973e7db35e6db8186ef2f3869904b7f5264e56079bb71f466e8

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=sha256:3553930b43134b2042d3da5fd0d1aa0ac9d0cbf8442f487d0a0a54c12f0e366a

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:b1b17bdfa8002fc8e03ecd022392ffa391b783457ea525177cbbe6b56d64927b

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=sha256:79b9fbd4cca2b023b1a0c9c7fd0c7e0fe650289cfc5230c7d88b7e826a5fc391

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=sha256:7ca33040fe778896d4119880dc6b84b012411cbec7c7df0dd43893214ef6397c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T19:34:02.860270Z digest=sha256:dc2bdfc33349de7f650132532681fe90056ce146586037930e87e1d5b5a13a66

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-09T16:29:05.186607Z digest=sha256:e9f1f4eb934498dfe12ffd388b6f38fc03a555901ad3f5ae2a45fc3df1dade34

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T10:10:14.655556Z digest=sha256:4a4f7e2503a45af56a061369841675c8a3ff933d83cfb917ed963571e289bd28

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T03:06:43.492669Z digest=sha256:33a5606a6fce25891c77079581ab2692b6a5e2e4360e713703fbf0001c73714a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:576ea3d972f6ece80a0a81f8dd571e2613e3469363e52b616f8c790048169e6f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T21:47:51.437284Z digest=sha256:66219c076de4c50948a5cc62e638553bf2138265154204db986a494ae61c6846

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T06:12:33.386915Z digest=sha256:83aa3358d4509581d13cbf7e533e831421b6dd1e0e54a342a535b61c19c159c1

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:cabb18a79e0705cff21546984a3e1cc92031f30f665b00385acdac166ec52900