Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T04:33:08.965380Z
Paper Citation Record · LEDGER
Distillation Scaling Laws
As of 23 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 24 inbound Pith citation observations for arXiv:2502.08606.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:58.720593Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T10:27:02.464784Z
Reference resolution
39 of 39 outbound references displayed
- verified exact1
- verified fuzzy14
- unresolved20
- parse uncertain0
- malformed identifier4
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0cf02cdc-44dd-4812-9912-0b4874b7e6b7 · outbound
This paper cites an unresolved cited work.
Distillation Scaling Laws Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T04:33:09.691955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ff592dfe-3e75-4c02-99ee-a51ee31e2081 · outbound
This paper cites Our setting automatically satisfies consistency as there is no augmentation policy.
Distillation Scaling Laws Our setting automatically satisfies consistency as there is no augmentation policy
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.679681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bbcefb85-f25a-4720-a285-76e453384a57 · outbound
This paper cites URL https: //doi.org/10.1145/3604930.3605705.
Distillation Scaling Laws URL https: //doi.org/10.1145/3604930.3605705
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.820573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ec3c9cc-4c3c-4a7c-aa84-ae39adb9d64e · outbound
This paper cites DeepSeek-V3 Technical Report.
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.824784Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67a722ad-a368-49fe-803c-1f6f4d4e8ccf · outbound
This paper cites an unresolved cited work.
Distillation Scaling Laws Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.829410Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbcd7b26-66fc-4ff8-8dd8-f220deaeb5a1 · outbound
This paper cites Ac- cessed: 2025-02-11.
Distillation Scaling Laws Ac- cessed: 2025-02-11
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.703922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d33897f2-e73e-469d-92dc-6f938b6374a2 · outbound
This paper cites Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data.
Distillation Scaling Laws Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T04:33:09.097480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b4c47448-072d-4586-af12-04ffd7ce7466 · outbound
This paper cites Deep Learning Scaling is Predictable, Empirically.
Distillation Scaling Laws Deep Learning Scaling is Predictable, Empirically
Reference 11
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-08T04:33:08.846677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e701b72f-61a3-4382-a170-c53d77a6cfd5 · outbound
This paper cites URL https: //doi.org/10.1145/3458817.3476209.
Distillation Scaling Laws URL https: //doi.org/10.1145/3458817.3476209
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.860221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb5b7d31-a71b-423a-8b56-6e6b2783af4e · outbound
This paper cites GPT-4 Technical Report.
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.868098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4469a440-1847-4aa5-ae3c-20980ad64f8f · outbound
This paper cites Sakaguchi, K., Bras, R.
Distillation Scaling Laws Sakaguchi, K., Bras, R
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.880821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d722c0da-80ad-4efa-91bd-18acfe642a8b · outbound
This paper cites GLU Variants Improve Transformer.
Reference 20
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-08T04:33:08.884623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8bdbfd2-4567-4c01-a144-96df8f736538 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Distillation Scaling Laws LLaMA: Open and Efficient Foundation Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.888374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae19f48c-11d1-4419-8ce7-488269625b29 · outbound
This paper cites Tensor Programs IVb: Adaptive Optimization in the Infinite-Width Limit.
Distillation Scaling Laws Tensor Programs IVb: Adaptive Optimization in the Infinite-Width Limit
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.892592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27880ec8-32eb-4de6-87b0-6935a0c17ca4 · outbound
This paper cites an unresolved cited work.
Distillation Scaling Laws Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T04:33:09.667768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f97e33fc-4cad-450a-9e1f-74c76420ac5f · outbound
This paper cites The second statement implies that the student should not be trained for too long, appearing to contradict patient teachers.
Distillation Scaling Laws The second statement implies that the student should not be trained for too long, appearing to contradict patient teachers
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.655816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ab801d9b-2575-4ac7-88f3-3e2aa932a1cf · outbound
This paper cites (2022) do not see the teacher training distribution directly, whereas ours do.
Distillation Scaling Laws (2022) do not see the teacher training distribution directly, whereas ours do
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.643137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 10300036-a0d0-4eda-91a3-0fd8cced1d25 · outbound
This paper cites The absence of a supervised baseline means that Beyer et al.
Distillation Scaling Laws The absence of a supervised baseline means that Beyer et al
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.630208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7434c1b3-6f8a-46e1-8515-b763c858b8d2 · outbound
This paper cites an unresolved cited work.
Distillation Scaling Laws Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T04:33:09.617404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6232092c-f886-4d6b-a4da-8c7f288b93aa · outbound
This paper cites Calibration against ground-truth.
Distillation Scaling Laws Calibration against ground-truth
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.605397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation af8cc276-2ebd-41de-90b5-11c2c4991b7d · outbound
This paper cites In Figure 43a, we observe that the student is well-calibrated against ground truth data.
Distillation Scaling Laws In Figure 43a, we observe that the student is well-calibrated against ground truth data
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.592707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 74dda7a2-8a3d-4dbc-89d7-e2eea1d93cd0 · outbound
This paper cites In Figure 43b, we see that a student trained only on its teacher’s top- 1 prediction, is not calibrated against ground truth data.
Distillation Scaling Laws In Figure 43b, we see that a student trained only on its teacher’s top- 1 prediction, is not calibrated against ground truth data
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.579687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7588fe58-2692-4886-87f2-7dd936511498 · outbound
This paper cites We see in Figure 44a that when distilled from the full teacher distribution, the student is not calibrated against the teacher top-1.
Distillation Scaling Laws We see in Figure 44a that when distilled from the full teacher distribution, the student is not calibrated against the teacher top-1
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.565789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2b6e0cef-53e3-4096-b295-7c097ef841f9 · outbound
This paper cites In Figure 44b we observe that a student is distilled from its teacher’s top- 1 is calibrated with respect to teacher’s top-1.
Distillation Scaling Laws In Figure 44b we observe that a student is distilled from its teacher’s top- 1 is calibrated with respect to teacher’s top-1
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.552029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 533b196c-f6b9-4838-990a-8a88f453416a · outbound
This paper cites In Figure 45a, we see that when the student is confident, it matches the teacher confidence.
Distillation Scaling Laws In Figure 45a, we see that when the student is confident, it matches the teacher confidence
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.537667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0129476a-52e3-4dfa-ab9f-c06f2e3cc103 · outbound
This paper cites In Figure 45b, for small teachers, we observe student overconfidence.
Distillation Scaling Laws In Figure 45b, for small teachers, we observe student overconfidence
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.524211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9470eed0-8160-42ae-85c1-b31ac10b4a9f · outbound
This paper cites In Figure 45a we complete the picture from Figure 45a and see that the part of the distribution the student struggles to model is actually the place where teacher is most confident.
Distillation Scaling Laws In Figure 45a we complete the picture from Figure 45a and see that the part of the distribution the student struggles to model is actually the place where teacher is most confident
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.510816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1bbf89e8-9b3d-4028-a63c-7df71ec13445 · outbound
This paper cites log LT , −c0 log LT − c1f1 log 1 + LT d1 eLS 1/f1 ! + γ log A′ N α S + B′ Dβ S !# (48) = LSE.
Distillation Scaling Laws log LT , −c0 log LT − c1f1 log 1 + LT d1 eLS 1/f1 ! + γ log A′ N α S + B′ Dβ S !# (48) = LSE
Reference 38
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-08T04:33:09.498103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 835a8686-e627-4015-9aa0-98d38a1660eb · outbound
This paper cites For all experiments, the English-only subset of the C4 dataset (Raffel et al., 2020) is used.
Distillation Scaling Laws For all experiments, the English-only subset of the C4 dataset (Raffel et al., 2020) is used
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T04:33:09.484714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f048f31d-d5af-4de3-ab61-f6cc1fcc0328 · outbound
This paper cites Textbooks Are All You Need II: phi-1.5 technical report.
Distillation Scaling Laws Textbooks Are All You Need II: phi-1.5 technical report
Reference 507
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.851423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa8018af-c72d-45cd-8f50-81f75b32db0e · outbound
This paper cites GPT-4 Technical Report.
Reference 2008
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.864303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94421901-dfec-4354-90cc-edb3ed015057 · outbound
This paper cites Language models scale reliably with over-training and on downstream tasks.
Distillation Scaling Laws Language models scale reliably with over-training and on downstream tasks
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.837672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaed84e0-cde7-4712-b087-ad4f596e14e9 · outbound
This paper cites A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs.
Distillation Scaling Laws A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
Reference 2020
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e235190-ae06-4528-b3bb-e4a7a35310cf · outbound
This paper cites An Empirical Study of Scaling Laws for Transfer.
Distillation Scaling Laws An Empirical Study of Scaling Laws for Transfer
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.802494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44a6deed-1c7c-4538-a331-55206dc97900 · outbound
This paper cites Why distillation helps: a statistical perspective.
Distillation Scaling Laws Why distillation helps: a statistical perspective
Reference 2022
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-08T04:33:08.855974Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8f55bd0-0c78-4cc7-ba78-957cb1dfe77b · outbound
This paper cites The Calibration Generalization Gap.
Distillation Scaling Laws The Calibration Generalization Gap
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.816244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 405b5901-2f94-4530-892e-a0a92d1feb18 · outbound
This paper cites Resolving Discrepancies in Compute-Optimal Scaling of Language Models.
Distillation Scaling Laws Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.872000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4daaa6fc-522e-4808-8158-03e0f1b67c47 · outbound
This paper cites The Elements of Differentiable Programming.
Distillation Scaling Laws The Elements of Differentiable Programming
Reference 6239
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.811647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a13c364-577a-4170-b639-b970af5e257d · outbound
This paper cites doi: 10.1609/AAAI.V34I05.
Distillation Scaling Laws doi: 10.1609/AAAI.V34I05
Reference 7439
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:33:08.807626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation b5fcae33-acec-4db6-9ccd-5987bbece965 · inbound
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Distillation Scaling Laws
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T08:40:41.236055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4b51ad03-b27a-40c5-a18e-dd672b546482 · inbound
Scaling Laws for Data-Efficient Visual Transfer Learning cites this paper.
Scaling Laws for Data-Efficient Visual Transfer Learning Distillation Scaling Laws
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:31:58.720593Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7471c7ee-c21e-405e-b589-346dcdc6b39c · inbound
Scalable Strategies for Continual Learning with Replay cites this paper.
Scalable Strategies for Continual Learning with Replay Distillation Scaling Laws
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:36:39.691481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb9b0894-42ac-4dd9-9639-356e2dfd57cc · inbound
HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling cites this paper.
HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling Distillation Scaling Laws
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:44.547375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfff7ebc-db84-4914-b3a8-c73ab38c162a · inbound
Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles cites this paper.
Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles Distillation Scaling Laws
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:21:04.584884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e70aa5e-28f4-4b46-9fbd-1b76d123f189 · inbound
SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought cites this paper.
SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought Distillation Scaling Laws
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:39:02.284171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 948fd68b-e593-4bce-a013-72f891ed1cd4 · inbound
A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search cites this paper.
A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Distillation Scaling Laws
Reference 101
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:07:39.912256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6f109e9-a66f-4efa-9756-7de207a2c72b · inbound
Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.
Language Models Improve When Pretraining Data Matches Target Tasks Distillation Scaling Laws
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:53:08.909525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9287584-c60c-4e1f-b10f-1b5121db1396 · inbound
Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling cites this paper.
Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling Distillation Scaling Laws
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:25:24.197937Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab8ee03a-23fd-4e68-b2f7-9b4d65595187 · inbound
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe cites this paper.
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe Distillation Scaling Laws
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:11:06.799350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 06a08037-217e-476e-95c0-49f6b5cc9295 · inbound
Attention to Mamba: A Recipe for Cross-Architecture Distillation cites this paper.
Attention to Mamba: A Recipe for Cross-Architecture Distillation Distillation Scaling Laws
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T23:08:25.019226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7abbae8a-218a-41bf-bba6-22ca9e906757 · inbound
Locking Pretrained Weights via Deep Low-Rank Residual Distillation cites this paper.
Locking Pretrained Weights via Deep Low-Rank Residual Distillation Distillation Scaling Laws
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:16:28.199224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d6c8bdd3-d23d-4fed-8f2d-34dcd0fc7638 · inbound
Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why cites this paper.
Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why Distillation Scaling Laws
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:11:27.194571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 116a3b02-0a7b-4e60-9c4a-882954ad9686 · inbound
GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets cites this paper.
GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets Distillation Scaling Laws
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:28:16.839876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 808a10a8-30b8-44f4-979b-5d8fad005d58 · inbound
A Primer in Post-Training Reasoning Data: What We Know About How It Works cites this paper.
A Primer in Post-Training Reasoning Data: What We Know About How It Works Distillation Scaling Laws
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:06:20.492970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bd734d7d-d47f-4d95-b659-cdcf0c08842e · inbound
Scaling Laws for Task-Specific LLM Distillation cites this paper.
Scaling Laws for Task-Specific LLM Distillation Distillation Scaling Laws
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T17:40:00.709298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 43781904-f825-4a0a-ba1a-65d06731e5ba · inbound
DOPD: Dual On-policy Distillation cites this paper.
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T05:54:18.565205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation eccf6957-144f-434b-a8d0-1342b8625d63 · inbound
When Does Generating More Help? Disentangling Fixed-Source Synthesis from Source Expansion in Synthetic Data Scaling cites this paper.
When Does Generating More Help? Disentangling Fixed-Source Synthesis from Source Expansion in Synthetic Data Scaling Distillation Scaling Laws
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T15:28:33.813041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fcfc1f1d-28b0-4845-8f6b-20e29d53e00e · inbound
Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.
Weak-to-Strong Generalization via Direct On-Policy Distillation Distillation Scaling Laws
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T12:33:45.193910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 39e87fb7-d8c1-4488-a56e-e9092c417205 · inbound
Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.
Weak-to-Strong Generalization via Direct On-Policy Distillation Distillation Scaling Laws
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T07:01:56.628017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f71c4fa-1ba9-4e75-b09b-d704595675a3 · inbound
Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment cites this paper.
Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment Distillation Scaling Laws
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T10:27:02.465940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a26b1bb5-02e4-49c1-9467-463b64384223 · inbound
Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals cites this paper.
Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals Distillation Scaling Laws
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T05:09:00.865375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57a20919-bb17-49a2-b72b-4a46b27889ec · inbound
Bridging Compute- and Data-Optimal Pretraining cites this paper.
Bridging Compute- and Data-Optimal Pretraining Distillation Scaling Laws
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:02:01.509903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 755b5046-0fc4-408f-aec7-31f6ec3e78b5 · inbound
Skaling: Chinchilla's Exponents Meet Kaplan's Coupling cites this paper.
Skaling: Chinchilla's Exponents Meet Kaplan's Coupling Distillation Scaling Laws
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T12:32:57.249732Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.