Pith. sign in

Paper Citation Record · LEDGER

Contextually Guided Transformers via Low-Rank Adaptation

As of 11 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.05672.

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

pith.paper-citation-record.v1
2506.05672 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:44.402023Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy10
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cd0a788-6118-4b4e-9079-1f34b155f583 · outbound

This paper cites write newline.

Contextually Guided Transformers via Low-Rank Adaptation write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.059635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.059635Z digest=sha256:d58f0bd1cfea0071eeff0ae96c0c21a0c648c97f56f5bf8b6c0d76c9aa8a8736

Observation 315e0b3b-813e-49ea-b62f-0eaf4b577e9c · outbound

This paper cites Language models are few-shot learners.

Contextually Guided Transformers via Low-Rank Adaptation Language models are few-shot learners

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.101352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.101352Z digest=sha256:81b7012c68c31b3c0389daf6b051ad7ca2c7b0aba81205b804f806bcaf556fd7

Observation af4eed04-9725-4113-9820-5ed951393386 · outbound

This paper cites Gaussian process prior variational autoencoders.

Contextually Guided Transformers via Low-Rank Adaptation Gaussian process prior variational autoencoders

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.698147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.171159Z digest=sha256:1bdc0609bd1cf120ebe72f095553f621b1c5955bd062e9ddb8a8d0881b1b84b8

Observation 0c231f50-5c09-4483-b3ac-a7fa40f4076b · outbound

This paper cites Cf-vit: A general coarse-to-fine method for vision transformer.

Contextually Guided Transformers via Low-Rank Adaptation Cf-vit: A general coarse-to-fine method for vision transformer

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T10:19:44.805924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.234358Z digest=sha256:58736d647b93b404c8115ba144bc7e709f08797a1d8d20f523c01bdbb70f7969

Observation 0aa99e17-2832-44c2-8d87-76eafffd1af2 · outbound

This paper cites Transformer-based Conditional Variational Autoencoder for Controllable Story Generation.

Contextually Guided Transformers via Low-Rank Adaptation Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.300336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.300336Z digest=sha256:25de7471434a71946a56cfab1f81b32d64c76d6290928fb19c1dd38072ae93f9

Observation 4a235b5b-95bb-480b-9d5f-a66b206edb56 · outbound

This paper cites In-context learning creates task vectors.

Contextually Guided Transformers via Low-Rank Adaptation In-context learning creates task vectors

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.384946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.384946Z digest=sha256:1bed569e0d620b2996070001fd7622a0b6d63df7c1b1f3e06a4c1353171efdb2

Observation 63781fba-02bf-41e1-b873-f9b2f1e0638d · outbound

This paper cites A VAE for Transformers with Nonparametric Variational Information Bottleneck.

Contextually Guided Transformers via Low-Rank Adaptation A VAE for Transformers with Nonparametric Variational Information Bottleneck

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.565318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.450151Z digest=sha256:c63c1676b6b22cbae2999caf6d4e9f12899e710aff726822cbf58d68dc22b010

Observation 61c2aa74-0b6c-4bc4-a0ea-3a95bf0c4392 · outbound

This paper cites Kingma and Max Welling.

Contextually Guided Transformers via Low-Rank Adaptation Kingma and Max Welling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.514370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.514370Z digest=sha256:7a2cb8188afa8deffaefba775957eacd1559dbf9e06b7fa274173cf2eb4164b9

Observation 8d683374-2425-42bc-b83c-e74de2dbd4c3 · outbound

This paper cites an unresolved cited work.

Contextually Guided Transformers via Low-Rank Adaptation Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.588622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.588622Z digest=sha256:85185f68ad84f1afd191a822787e1b51de8070153beeff834efabcd81f414f51

Observation 304cac0f-7a19-4efe-9831-368c5ee0e1e2 · outbound

This paper cites an unresolved cited work.

Contextually Guided Transformers via Low-Rank Adaptation Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:42.701848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:42.701848Z digest=sha256:032ec7aabe63e33fc38871e7054c071e4099615452a05c42aa7fc71d22fdad1c

Observation 4948b7ce-2e7c-48ea-96ea-011431fa813a · outbound

This paper cites Fast-slow recurrent neural networks.

Contextually Guided Transformers via Low-Rank Adaptation Fast-slow recurrent neural networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.422935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.801505Z digest=sha256:b7742aea912750cd2aace504a63b1e138079b90ac98768731475866defda0db9

Observation 349c7ef4-ffc0-4c96-b956-142df9a2cf37 · outbound

This paper cites Hypertuning: Toward adapting large language models without back-propagation.

Contextually Guided Transformers via Low-Rank Adaptation Hypertuning: Toward adapting large language models without back-propagation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.253514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:42.927595Z digest=sha256:9c531d4bdabfc7f6c59426f47dc03a10933394fc99dc199cb6c49e9bd49055c3

Observation a5c6c0be-921d-4672-bf6d-c66b3b54ff37 · outbound

This paper cites Language models are unsupervised multitask learners.

Contextually Guided Transformers via Low-Rank Adaptation Language models are unsupervised multitask learners

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.007540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.007540Z digest=sha256:215c968a4979f6b9c9fc4a9ffaa9cc534ef35a3ae794e14a36c82302f855ccb6

Observation 8f7d56fa-5a80-4f47-b82a-5b79dbb8fe8b · outbound

This paper cites an unresolved cited work.

Contextually Guided Transformers via Low-Rank Adaptation Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.093303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.093303Z digest=sha256:8aa89f2d1ae7aadaeac386bcdf857b4187efe76b6bd0de2730f7c853732e3519

Observation dcaac2e5-b1f4-4c07-92e4-a59c167248eb · outbound

This paper cites Orthogonal projection loss.

Contextually Guided Transformers via Low-Rank Adaptation Orthogonal projection loss

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:46.036814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.157688Z digest=sha256:03525dd85e22074f01d230b22eec2018d7326d3eb97621fe51f2fb4456ad6fb7

Observation 61d9ea04-d2a0-4072-b98f-25022b328446 · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification.

Contextually Guided Transformers via Low-Rank Adaptation Dynamicvit: Efficient vision transformers with dynamic token sparsification

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.843013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.250797Z digest=sha256:fcd7e69adcbe2b8f5b3032e112bd7bf50a9ac9b2a91950f73d90061576915562

Observation 53123e4b-86ad-428b-9da5-97705aeff4f0 · outbound

This paper cites Learning to control fast-weight memories: An alternative to dynamic recurrent networks.

Contextually Guided Transformers via Low-Rank Adaptation Learning to control fast-weight memories: An alternative to dynamic recurrent networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.347372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.347372Z digest=sha256:6f49ef217c5049d52863aeebb09d4cc0ad4a303504c421782cb94a217b9d6993

Observation 66d2743d-54f1-4c0a-a61a-4f0f7957d839 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Contextually Guided Transformers via Low-Rank Adaptation Neural Machine Translation of Rare Words with Subword Units

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.432024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.432024Z digest=sha256:e40a582c479cf1d4eb0cda017983fa16897fe61e9d4b35daf1fe69bde6fef1e4

Observation 76330345-cced-4c1b-9473-972397aa19d9 · outbound

This paper cites Patch slimming for efficient vision transformers.

Contextually Guided Transformers via Low-Rank Adaptation Patch slimming for efficient vision transformers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.516435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.516435Z digest=sha256:eea05a4526304096775d811e01964713c85b8bf8465ca5782ad60c11c8be0c8b

Observation defa3c62-148b-4a2e-81dd-e3d486a3cd09 · outbound

This paper cites Visualizing data using t-sne.

Contextually Guided Transformers via Low-Rank Adaptation Visualizing data using t-sne

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:43.621411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:43.621411Z digest=sha256:3c88561ed9c4980ae126b74557d3e222d93c895278ce508c1442f80e6c368724

Observation 2b166800-9dac-4a9f-9cf5-5c1b318bf6e0 · outbound

This paper cites Transformers learn in-context by gradient descent.

Contextually Guided Transformers via Low-Rank Adaptation Transformers learn in-context by gradient descent

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.700864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.699600Z digest=sha256:6592e0fe8033fd669351ce67fb24f57635a659e6ad90cf8974bf6ef71d36eccb

Observation 796d962b-de31-47ab-a092-82eb208d5999 · outbound

This paper cites Uncovering mesa-optimization algorithms in transformers, 2023.

Contextually Guided Transformers via Low-Rank Adaptation Uncovering mesa-optimization algorithms in transformers, 2023

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.483993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.764629Z digest=sha256:27c4af5961c0022a1530a19009619a82fb11468242c03c6281bd8f5d188c0256

Observation a9d8e91f-2d80-474d-80f4-9815f17db886 · outbound

This paper cites T-cvae: Transformer-based conditioned variational autoencoder for story completion.

Contextually Guided Transformers via Low-Rank Adaptation T-cvae: Transformer-based conditioned variational autoencoder for story completion

Reference 23

Resolution
verified exact
doi, observed 2026-08-07T10:19:44.551962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.839591Z digest=sha256:3b85f19d29f4b5bebc476edf7b7a566a3fbbe26a997df2dc07a69e183109703f

Observation 0b416d09-26f5-45aa-9a5b-315ccaeb6bef · outbound

This paper cites Wikimedia downloads.

Contextually Guided Transformers via Low-Rank Adaptation Wikimedia downloads

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.318134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:43.936979Z digest=sha256:426c6cd0d12d16e530cd7e8ddcb7130c00a728d5464b21a260fca88a45e01341

Observation f9241a03-e948-4009-be8f-e8ffbd6972cf · outbound

This paper cites Evo-vit: Slow-fast token evolution for dynamic vision transformer.

Contextually Guided Transformers via Low-Rank Adaptation Evo-vit: Slow-fast token evolution for dynamic vision transformer

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:44.047795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:44.047795Z digest=sha256:939fe60f92d6173e6b915c55df99b77b62ba69d570c1ec589a0ac2d353c06357

Observation 00bb35db-33b8-4ae0-a233-f7de58936549 · outbound

This paper cites Chi, Jason Wei, Jeff Dean, Liam B.

Contextually Guided Transformers via Low-Rank Adaptation Chi, Jason Wei, Jeff Dean, Liam B

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:19:45.153800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-07T10:19:44.105247Z digest=sha256:68adcd6b65bdf3bfaf7ea3cf7ed3381cb239203a4bda106fbc6c952644221852

Observation 7349ae91-9851-462d-9a0d-61d3a535d0ee · outbound

This paper cites @esa (Ref.

Contextually Guided Transformers via Low-Rank Adaptation @esa (Ref

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:44.218665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:44.218665Z digest=sha256:e7ef7fec717e433312c1fb8e0c72d35748a17705e24a50b8678e616d06a81fa1

Observation 4326401b-1090-4cd9-9d83-335cfef331e4 · outbound

This paper cites an unresolved cited work.

Contextually Guided Transformers via Low-Rank Adaptation Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:44.305848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:44.305848Z digest=sha256:0b24166c9fe5d703447d092264a49da11477f174ce121f61ed4d618eb2fcc3db

Observation 1f140c7b-c20a-4b1f-82e7-c6cf0bc4e87e · outbound

This paper cites Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?.

Contextually Guided Transformers via Low-Rank Adaptation Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:44.402023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:19:44.402023Z digest=sha256:40cec89acf17b0797f3135960ee4505a8f64b35fd70ad55f7072ff3577eb3271

Pith citing papers

No inbound Pith citation observations are available.