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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2505.19511.

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

pith.paper-citation-record.v1
2505.19511 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:09.116323Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact3
  • verified fuzzy7
  • unresolved19
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 004af4f3-c7ea-499a-a0f9-f5bfb80297ca · outbound

This paper cites Phi-4-reasoning Technical Report.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Phi-4-reasoning Technical Report

Reference 1

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source=pdf_text observed=2026-08-07T14:16:06.597505Z digest=sha256:2e48d1355a6556200f36a9fff45416e31e778e6629db4a74086aea12ed40f7f5

Observation e1e37bf4-c420-4859-a4db-ec8456d27c21 · outbound

This paper cites Claude 3.7 sonnet, 2025.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Claude 3.7 sonnet, 2025

Reference 2

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:16:06.690548Z digest=sha256:c3288e60192dbc24f5a3a4986deb659645bdac13e1c42cd72819ed9475d1d9d3

Observation fb3e795e-86f6-43fe-9dd4-579ac204518e · outbound

This paper cites Cause and effect: can large language models truly understand causality? InProceedings of the AAAI Symposium Series, volume 4, pages 2–9, 2024.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Cause and effect: can large language models truly understand causality? InProceedings of the AAAI Symposium Series, volume 4, pages 2–9, 2024

Reference 3

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:16:06.806801Z digest=sha256:dd73475c384da71672a33b27b406e161bb2b77485a49f4d2b1e80767bbb3cdcf

Observation 35aee4b5-922a-4381-8d38-19e7973515d5 · outbound

This paper cites Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning

Reference 4

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source=pdf_text observed=2026-08-07T14:16:06.926524Z digest=sha256:80a05e296e1499a7fd510c7cc533afe65618d95c3b7e178e5c01726ea7f508e5

Observation f848f654-b1d2-4686-9a72-809f9addfc36 · outbound

This paper cites Causal Evaluation of Language Models.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Causal Evaluation of Language Models

Reference 5

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source=pdf_text observed=2026-08-07T14:16:07.025526Z digest=sha256:0b37308c3c9a3ab4d3d02f64ffa21a3ab56bf742f4ed959e91d9bf939e67e341

Observation b9c2630d-e6e8-499c-bcd9-b239bcfb2289 · outbound

This paper cites CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models

Reference 6

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source=pdf_text observed=2026-08-07T14:16:07.091965Z digest=sha256:697b0c495f522b2bdb5cb4dbdbadc7224ad07615d555b343946c924ac5d6903f

Observation 7dbe312e-139d-42f3-be48-f1e2eddd0040 · outbound

This paper cites Unveiling causal reasoning in large language models: Reality or mirage?Advances in Neural Information Processing Systems, 37:96640–96670, 2024.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Unveiling causal reasoning in large language models: Reality or mirage?Advances in Neural Information Processing Systems, 37:96640–96670, 2024

Reference 7

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:16:07.199879Z digest=sha256:6ed3233661df8b5d25025f078aa20e6a627cc22f8711fe70a198e4abc77dc151

Observation f80581e1-854e-4b85-83b0-4799dc517c2a · outbound

This paper cites CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

Reference 8

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source=pdf_text observed=2026-08-07T14:16:07.260079Z digest=sha256:f8838414d612fe6101290c15f4df623c488e55385ed6870dd1e807e8fa0038c2

Observation f8d60938-34dd-491d-9483-c6fa8d0fbd4b · outbound

This paper cites Causal inference in natural language processing: Estimation, prediction, interpretation and beyond.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Causal inference in natural language processing: Estimation, prediction, interpretation and beyond

Reference 9

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source=pdf_text observed=2026-08-07T14:16:07.348175Z digest=sha256:03900f3e5e188799219213f47df55ccfa846b1c297f494e42e504150c7832bef

Observation 54d354d6-fabd-4fc0-b137-d9f5b6594331 · outbound

This paper cites Efficient knowledge distillation from an ensemble of teachers.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Efficient knowledge distillation from an ensemble of teachers

Reference 10

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source=pdf_text observed=2026-08-07T14:16:07.420560Z digest=sha256:ef8a0755ad379f9783321bcd02764d8456f53e1eedd5de8e8e000d2ea20cf8fe

Observation bcec8e91-aa07-47f2-b450-a2ac9acbfb4f · outbound

This paper cites Gemini flash: Efficient and capable, 2025.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Gemini flash: Efficient and capable, 2025

Reference 11

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:16:07.514609Z digest=sha256:a68b6dbc69be1b711910357e70cbaa0e1d8fb1cb7e38d679dab42f85771b8ea1

Observation f268e853-a9d8-49be-8eb6-b453ea3d637a · outbound

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

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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source=pdf_text observed=2026-08-07T14:16:07.595667Z digest=sha256:87dc848e820ca0af1ff12b0675767630d210fd7904048d95c20e754587929cf6

Observation 3765b16f-aea4-4a06-8c60-54db0b0daa35 · outbound

This paper cites Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?

Reference 13

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:16:07.661808Z digest=sha256:94e0bcf96ffd3c41214345b3811e60dec1b0bd6380d60033726ac0e2afc97942

Observation a5e4e444-f05a-448d-8950-ed1bb89f5dec · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Distilling the Knowledge in a Neural Network

Reference 14

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source=pdf_text observed=2026-08-07T14:16:07.713666Z digest=sha256:44118dd60cbbf55cef12bb71cac76215863f9d27a4a7fd03347bfad2dbb7a53a

Observation 60e573ea-4e32-4ef2-ab96-d6736c024cca · outbound

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

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 15

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source=pdf_text observed=2026-08-07T14:16:07.789889Z digest=sha256:fd3f0b13fced214a99914ec093f8e87d7045b8113e82fff7adda51e6ae612e99

Observation 05441bdd-4351-47a7-bdd5-430dd8874183 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 16

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source=pdf_text observed=2026-08-07T14:16:07.891522Z digest=sha256:1a8e20cd3a20130ad8f932114123e10a0bff64d228641f9bfb17166677af6879

Observation 78437691-f45f-48c7-8dc0-fc2bc67c9e70 · outbound

This paper cites Phi-2: The surprising power of small language models.Microsoft Research Blog, 1(3):3, 2023.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Phi-2: The surprising power of small language models.Microsoft Research Blog, 1(3):3, 2023

Reference 17

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source=pdf_text observed=2026-08-07T14:16:07.998505Z digest=sha256:fddde92362d5fe139afe7b4c552c27d89eee3928513a28c6a247066f42d26ff4

Observation be39212a-9765-4915-8faf-99ad00ddfe7e · outbound

This paper cites Cladder: Assessing causal reasoning in language models.Advances in Neural Information Processing Systems, 36:31038–31065, 2023.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Cladder: Assessing causal reasoning in language models.Advances in Neural Information Processing Systems, 36:31038–31065, 2023

Reference 18

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source=pdf_text observed=2026-08-07T14:16:08.079954Z digest=sha256:d4ca3bce94d13eed2971db771531253523065d9a67e972318ae6b389f832267b

Observation 50682e57-524b-4846-a4bf-f7927c043e31 · outbound

This paper cites Can Large Language Models Infer Causation from Correlation?.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Can Large Language Models Infer Causation from Correlation?

Reference 19

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source=pdf_text observed=2026-08-07T14:16:08.188141Z digest=sha256:6e111903475d49c2d13d9f473bc01c96c064f0292c61c12cb252d7c4e02d975b

Observation c2db986b-3447-4e43-a947-16e983d5527e · outbound

This paper cites A Survey on Enhancing Causal Reasoning Ability of Large Language Models.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models A Survey on Enhancing Causal Reasoning Ability of Large Language Models

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:16:08.263881Z digest=sha256:dff140182e92977b7dfcdf65ff0dc61784ee6d86494b772ae837562ce4134e68

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

This paper cites Teaching Small Language Models to Reason.

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

Reference 21

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source=pdf_text observed=2026-08-07T14:16:08.363480Z digest=sha256:dc1bfe604709fb438a042113c2e68d60a06c24e4573d6d87150922b57c8064a6

Observation 9f335903-eabd-477e-9c46-f0a891db7a8f · outbound

This paper cites Openai o3-mini system card, 2025.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Openai o3-mini system card, 2025

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:16:08.461508Z digest=sha256:0110eab4fae6f50d10f30ac1626b0281839e09a2a8b99b4dcc58e8a3dc0585c3

Observation 3e2c39f5-9c68-494a-b24e-27970a6d49e6 · outbound

This paper cites MIT press, 2000.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models MIT press, 2000

Reference 23

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source=pdf_text observed=2026-08-07T14:16:08.551556Z digest=sha256:bd3453ba414c4160f054547f36efd04b4ecd636a00422ade018d0cd43d8b5984

Observation b50b37fa-e42d-435e-a6a8-cde32edb3a80 · outbound

This paper cites an unresolved cited work.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-07T14:16:08.618901Z digest=sha256:779b8d799f3902a323e9fe652c19aff977e228066673e81f1b09050698a8a361

Observation 89b8279a-a067-4042-8c5b-d3c82ed9f056 · outbound

This paper cites Explanatory coherence.Behavioral and brain sciences, 12(3):435–467, 1989.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Explanatory coherence.Behavioral and brain sciences, 12(3):435–467, 1989

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:16:08.705833Z digest=sha256:fb48077961f2139e87d2b09fbcef0deb7a8cf5230d6f665e9e32fd6bc5708512

Observation 2a86c951-3ddd-4a8f-bc69-df4b3ec9f3ba · outbound

This paper cites A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Reference 26

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source=pdf_text observed=2026-08-07T14:16:08.809326Z digest=sha256:ae3e43428dd856e4addccf0fbb4c67782b60faa2654afe5dc3cbbfe5ca00546c

Observation 233113f4-fa0d-4741-9411-057c9c956901 · outbound

This paper cites Causal Distillation for Language Models.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Causal Distillation for Language Models

Reference 27

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local_arxiv, observed 2026-08-07T14:16:09.344467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:16:08.909539Z digest=sha256:8d3d4dc0e73004293dcd9ddb760c108b86de766c67e9b6c5b18ac388667c6739

Observation af623c6a-adbf-4caa-940d-eb69f023a3ba · outbound

This paper cites Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations

Reference 28

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source=pdf_text observed=2026-08-07T14:16:08.990518Z digest=sha256:7ed2f7e802301f5fc8795ba7d1871e59937ef8deb815a55014e4050fe20e443c

Observation 9746c3ea-e50b-4251-bcaf-661d4d6e2362 · outbound

This paper cites Understanding Causality with Large Language Models: Feasibility and Opportunities.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models Understanding Causality with Large Language Models: Feasibility and Opportunities

Reference 29

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source=pdf_text observed=2026-08-07T14:16:09.053272Z digest=sha256:eb9938a82facce52b27347e06e0452ce091efc1381c184e29d5281faeffcf022

Observation 729aaf0c-7b42-4f3f-80c2-40453c7817d9 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models TinyLlama: An Open-Source Small Language Model

Reference 30

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source=pdf_text observed=2026-08-07T14:16:09.116323Z digest=sha256:153f7fcbb0909a1abd368ee09ba6380b5b2d065baef8882006435288fa1d24e9

Pith citing papers

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