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Paper Citation Record · LEDGER

Meta-Transfer Learning for mmWave Beam Alignment

As of 23 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2607.00860.

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

pith.paper-citation-record.v1
2607.00860 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T07:33:21.357781Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 865c21fc-2fcf-4df1-8cfd-fb76a28c6c39 · outbound

This paper cites Learning site-specific probing beams for fast mmWave beam alignment,.

Meta-Transfer Learning for mmWave Beam Alignment Learning site-specific probing beams for fast mmWave beam alignment,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.071414Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:a0df6775f5213ad01d10676c3b9f70cf95a509bdd4bebfafb55a0dcd09bbaa94

Observation 110732e2-3afb-4475-87c3-2e9d12ecfdc5 · outbound

This paper cites Ex- plainable and Robust Millimeter Wave Beam Alignment for AI-Native 6G Networks,.

Meta-Transfer Learning for mmWave Beam Alignment Ex- plainable and Robust Millimeter Wave Beam Alignment for AI-Native 6G Networks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.062780Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:3e528169c9ad5307947f3577e06b82473610376613107dbfd513006d42aec4f8

Observation a597aecc-9f0d-4db5-81be-2afe280351c5 · outbound

This paper cites Transfer Learning and Meta Learning-Based Fast Downlink Beamforming Adap- tation,.

Meta-Transfer Learning for mmWave Beam Alignment Transfer Learning and Meta Learning-Based Fast Downlink Beamforming Adap- tation,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.067558Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:3eb875bdfd39b71afa0a37e9a8460090ac10c316c781e6e84a07defa2489dc71

Observation b2a1fcf4-8a33-44ae-832a-45c7482a3d5e · outbound

This paper cites SAMBA: Scenario-adaptive meta-learning for mmWave beam alignment,.

Meta-Transfer Learning for mmWave Beam Alignment SAMBA: Scenario-adaptive meta-learning for mmWave beam alignment,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.063648Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:c1a32d05668179dde0fd84ebbeddb5f6aa6692878b8f58bbfda4ddf9c559f8b2

Observation 48100abf-36be-4fba-bcbb-4fd16f1112ec · outbound

This paper cites Embedding model-based fast meta learning for downlink beamforming adaptation,.

Meta-Transfer Learning for mmWave Beam Alignment Embedding model-based fast meta learning for downlink beamforming adaptation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.064982Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:40e83c67530da94378b5baf27f97866cb5dfa758bfaa9a4caded4aecaf8b1ca0

Observation 140071d0-5250-4e09-b9fc-6932b585beec · outbound

This paper cites Meta- learning for beam prediction in a dual-band communication system,.

Meta-Transfer Learning for mmWave Beam Alignment Meta- learning for beam prediction in a dual-band communication system,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.073770Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:1d18b19ba2834dcbe0179fa282762ccbde8098acadeb7b2743b91624e91fbcf1

Observation 94cb7d03-22e0-4665-b6d3-08bb779eb541 · outbound

This paper cites MPBA: Meta-predictive beam alignment for mmWave systems with environmental variability,.

Meta-Transfer Learning for mmWave Beam Alignment MPBA: Meta-predictive beam alignment for mmWave systems with environmental variability,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.058148Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:e7b60a7e395fad944e3197034a0853e9991ce36539946d16183d095b2f5340ce

Observation c3f730ad-7801-4f3e-9dc1-1b1e87894ec3 · outbound

This paper cites DeepMIMO Dataset Generation,.

Meta-Transfer Learning for mmWave Beam Alignment DeepMIMO Dataset Generation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.053548Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:a34b116ac5b586ed8d0d3a5ce1df11615755160ad329d84eba966d26a8dee659

Observation 90ba29e6-c732-4bac-a721-f3552e3cec0c · outbound

This paper cites Meta-transfer learning for few-shot learning,.

Meta-Transfer Learning for mmWave Beam Alignment Meta-transfer learning for few-shot learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.049663Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:3afb17b38a291ae45792eeba402908011385a56e84df62d195349ed0d7676fd5

Observation 021dd8cc-ce96-4150-aece-93e8dee6b1ae · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Meta-Transfer Learning for mmWave Beam Alignment Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T05:31:58.060984Z

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.

source=pdf_text observed=2026-07-02T07:33:21.357781Z digest=sha256:7fc069c2bb3d6c8d5e329d9e59063d4588ab0be6ec82fd1dbea0b026bc3f875f

Pith citing papers

No inbound Pith citation observations are available.