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Paper Citation Record · LEDGER

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2205.12410.

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

pith.paper-citation-record.v1
2205.12410 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:41:16.467494Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:27:57.020173Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d1165e8e-882e-4a69-a7f0-0735500be25a · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 249

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:28:39.122768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:ab0809837b7c43509ef073feb96bdd388f002b4ba23901478a8c6e56b15ea1b3

Observation 2730690c-ab25-4847-94b4-84b721cbbce5 · inbound

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 246

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T00:57:26.692236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:9ef8248c34a71296570ef4e7aada40e4ca81bff3ff12314e73de42100e59b64a

Observation 68fe6b34-0487-495d-a519-d0be25cec916 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 36

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metadata mismatch
arxiv_id, observed 2026-05-13T11:32:37.076343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:8efa1db90834d406d5f8c78dbba26820bd3a31ae37fe29bc99627208763a3d5b

Observation 974e048c-665b-4ab3-ab8f-79e91617b58c · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 91

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unresolved
no resolver link, observed 2026-08-11T22:41:16.467494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:41:16.467494Z digest=sha256:df689a1f110241dee36d9c7bc41cf0ff292f30821968ad900ffaddb96bd04691

Observation 2ce976a8-db65-4ac3-a711-d9f477838f82 · inbound

SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts cites this paper.

SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 105

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unresolved
no resolver link, observed 2026-08-11T20:40:39.844012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:40:39.844012Z digest=sha256:a43c947cdb62f7a5a39b0af377267a01c807ab9b34ea29497d18a4b55c6e322d

Observation c3757fa6-6ca7-48ff-8027-35d393a3a73c · inbound

Superposition in Transformers: A Novel Way of Building Mixture of Experts cites this paper.

Superposition in Transformers: A Novel Way of Building Mixture of Experts AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:58.535137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:58.535137Z digest=sha256:dca68c68240cf372c93440a45f8252af85e719f2b07e7c542638eed2bbda2166

Observation a0027120-8831-425d-8aba-4236dda0a342 · 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) AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 133

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:52:37.662351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T05:47:48.488826Z digest=sha256:b8b5ab67a4eb15a9097b1a67a7e3d3aace9605913247a7713d56a66d42dafd4c

Observation 5f08cd66-27bb-4807-b138-73e15570b190 · inbound

Parameter-Efficient Fine-Tuning for Foundation Models cites this paper.

Parameter-Efficient Fine-Tuning for Foundation Models AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 78

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no resolver link, observed 2026-08-10T15:38:03.091661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:03.091661Z digest=sha256:a27c417759cff39045860a80b6c42725d445ddaa91d9dbb009e163b86764168c

Observation 67dc2e75-7325-415f-b87c-09362ef20550 · inbound

Domain Expansion: Parameter-Efficient Modules as Building Blocks for Composite Domains cites this paper.

Domain Expansion: Parameter-Efficient Modules as Building Blocks for Composite Domains AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 17

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no resolver link, observed 2026-08-10T15:18:07.203907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:18:07.203907Z digest=sha256:5e5836a374148af552a886f2b4f519a580ba1e2c9ba48a1d8dc1ab5ed3ef31c9

Observation a3e006d8-133f-4a32-8f27-dc6c2ae53af5 · inbound

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN cites this paper.

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 34

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no resolver link, observed 2026-08-07T15:05:18.346073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:18.346073Z digest=sha256:8a58c66f8870d484ee6b759506a49bea4e05d741b9225b928e62254c78948cf5

Observation 74356825-c5d8-4ae4-92fc-f145cd119c30 · inbound

$\mu$-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts cites this paper.

$\mu$-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T14:34:13.956079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:34:13.956079Z digest=sha256:9c5a2cd62daca7f3bdc6f491216a3903db707c3f1603560ba745dfd7dae7f24e

Observation 7990c06a-efa4-4d54-95b0-227bd7fd8f16 · inbound

Improved Representation Steering for Language Models cites this paper.

Improved Representation Steering for Language Models AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:33.164981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:51:33.164981Z digest=sha256:903912fa1dd32e42e874eb0a5c333b065b869a37ac4acfd3a211f01ecaf4667d

Observation dab70a53-010a-4440-aa7a-6607e60ae327 · inbound

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts cites this paper.

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:15.732927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:15.732927Z digest=sha256:3498a3400187129ae29474d357c1a1aa7a4bb4ee2f11fd37c830c2fcf62b1b14

Observation da7fc3c7-e972-4460-a171-a32463387dcb · inbound

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs cites this paper.

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:35:20.170246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:35:20.170246Z digest=sha256:11754a845a594b8951c5ac4d626aa01a7cf422f9e1eeab54909ae31f1bbbe37d

Observation 168a790a-c4ed-4e6a-961d-1617e1f53b99 · inbound

Learning Text Styles: A Study on Transfer, Attribution, and Verification cites this paper.

Learning Text Styles: A Study on Transfer, Attribution, and Verification AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 174

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:16.366054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:16.366054Z digest=sha256:c1bce93ab2543139f41f1a1a6b98583198d826b57d2b275c4004d7c0c446bee9

Observation 0645af8c-2bc8-4eb0-981d-ed3fef437a2e · inbound

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection cites this paper.

MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T19:37:27.317674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:37:27.317674Z digest=sha256:49437b2fd812136777852e22213ac198547ad7881c433fdca71a1ef349d1db4c

Observation aa6c3589-33ad-4686-a331-10a5e0177250 · inbound

Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks cites this paper.

Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-03T09:01:34.032691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:01:34.032691Z digest=sha256:53615d5d9bc531943c1605ad7c366e561fae30be42b46dc7eb390be07ac068eb

Observation c361bd1b-30e1-4809-95b7-2f096aea6ffa · inbound

STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation cites this paper.

STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:51:07.093807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T02:40:21.647700Z digest=sha256:1f9165756d1ce8edb9e58ccbe13daa838f89add7f35882f21e40b92d7066fa3e

Observation ff63dcdf-98f7-4c4a-964e-decc20a1c028 · inbound

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning cites this paper.

5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T04:17:37.166852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T14:03:24.516255Z digest=sha256:025e5c7c5005a0c4bb0ceb2032ce3f9baddd5db13fc3da4fd619ef83c870e6c4

Observation 6aa5e70b-6443-433d-a4af-efe2a8a7c24c · inbound

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework cites this paper.

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 68

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T10:27:57.021756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T09:58:16.639702Z digest=sha256:a093c68210d27a3ddc58acf293cd2ae742714de909f8753b24d3bd7fc10dd4b5

Observation 37f4193c-016c-4d34-83f9-4c05d367ca8c · inbound

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 88

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no resolver link, observed 2026-08-02T09:01:52.476459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:01:52.476459Z digest=sha256:86a8cbf26a2903f1dd7879a35d168da109dfc18973bf42e47fcc6c543bf8c338

Observation 4016ea53-ac20-4bea-8ce6-d3952f63d6dd · inbound

Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn cites this paper.

Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Reference 39

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no resolver link, observed 2026-08-02T10:31:28.193720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:31:28.193720Z digest=sha256:8f9decf921c4e202be0aa6b663e7ab56e45ef758d770b63088dafb67e808dda4